Rusk (TX) Investor Pulse Report (2025-Q4)

Real Estate comprehensive investment analysis of investor activity in the Rusk (TX) single-family residential housing market. Discover ownership trends, transaction patterns, and market insights.

Market Overview

Total SFR Properties in Rusk (TX)
11,425
Total Investors in Rusk (TX)
2,497
Investor Owned SFR in Rusk (TX)
2,371(20.8%)
Individual Landlords
Landlords
2,052
SFR Owned
1,774
Corporate Landlords
Landlords
445
SFR Owned
644
Understanding Property Counts

Distinct Count Methodology: The total 2,371 represents distinct properties — if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

Why totals don't sum: When broken down by Individual vs Corporate ownership (or by tier), properties with co-ownership across categories are counted once per category. For example, if a property is co-owned by an individual AND a corporate landlord, it appears in both counts. This is why Individual + Corporate totals may exceed the distinct total by 2-4%, and percentages may sum to 100-104%.

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Mom-and-Pop Landlords Dominate Rusk County with 92.0% Ownership as Institutions Retreat
Rusk County's landlord-owned SFR portfolio totals 2,371 properties (20.8% of the market), with individuals holding a commanding 74.8% share. In Q4, landlords secured 33.3% of purchases at a 36.0% discount to homeowners, yet institutional investors notably shifted to net sellers.
Landlord Owned Current Holdings
Total 2,371 landlord-owned SFR properties; individuals hold 74.8% of them.
Cash purchases dominate, accounting for 1,788 (75.4%) of investor-owned SFR, significantly outpacing financed properties at 583 (24.6%). With 2,311 properties currently rented, 97.5% of landlord-owned properties are rental-focused.
Landlord vs Traditional Homeowners
Landlords secured a massive $103,897 (36.0%) discount compared to homeowners in Q4.
The landlord discount surged to 36.0% ($103,897) in Q4, after reaching a high of 44.5% ($115,777) in Q3, demonstrating volatile but substantial price advantages. Across 2025, landlords consistently paid significantly less than homeowners, with discounts ranging from 28.6% in Q1 to a peak of 44.5% in Q3.
Current Quarter Purchases
Landlords secured 33.3% of Q4 SFR purchases, with mom-and-pops dominating 90.7% of activity.
Mom-and-pop landlords (Tier 01-04) accounted for 39 (90.7%) of all landlord purchases in Q4, vastly outperforming institutional investors (Tier 09) with only 1 purchase (2.3%). A significant 40 new single-property landlords entered the market in Q4, acquiring 27 properties and highlighting robust entry-level investment.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control 92.0% of investor-owned SFR.
Mom-and-pop landlords (Tier 01-04) collectively own 92.0% of all investor-held SFR properties, totaling 2,258 properties, vastly overshadowing institutional investors (Tier 09) who hold a mere 0.3% (8 properties). Single-property landlords (Tier 01) alone comprise the largest segment, controlling 67.6% (1,660 properties) of the entire investor-owned portfolio.
Ownership by Tier & Type
Company ownership surpasses individuals at the 6-10 and 21-50 property tiers.
Company ownership becomes the majority at the 6-10 property tier (60.4% company-owned) and again at the 21-50 property tier (56.6% company-owned), indicating strategic company scaling. Individual investors dominate single-property holdings, accounting for 1,353 properties (80.7%) in Tier 01.
Geographic Distribution
TX-Rusk-75652 leads with 755 investor-owned properties, comprising 24.8% of local SFR.
Zip codes 75687 and 75666 in Rusk County show the highest investor ownership rates at 50.0% each, signaling intense local investor concentration. While 75652, 75654, and 75662 lead in property counts (755, 543, 312), their ownership rates (24.8%, 17.8%, 16.4%) are moderate.
Historical Transactions
All landlords are net buyers (207 buys in 2025), while institutions became Q4 net sellers.
All landlords consistently acted as net buyers throughout 2025, acquiring 207 properties versus 43 sells, a net gain of 164 properties. Institutional investors (1000+ tier) reversed course to become net sellers in Q4 2025, selling 2 properties against 1 purchase, marking a divestment trend.
Current Quarter Transactions
Landlords commanded 30.3% of Q4 transactions; mom-and-pops drove 52 of 56 purchases.
Institutional buyers (Tier 09) secured properties at $136,400, a significant 33.5% discount compared to single-property landlords (Tier 01) who paid $205,263. Only 4 out of 56 landlord purchases were from other landlords, all by single-property buyers (Tier 01), indicating minimal inter-landlord trading in Q4.

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Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Total 2,371 landlord-owned SFR properties; individuals hold 74.8% of them.
Detailed Findings

Rusk County exhibits a strong investor presence, with 2,371 landlord-owned SFR properties comprising 20.8% of the total 11,425 SFR properties in the market. This significant market penetration underscores the importance of rental housing in the county.

Individual investors overwhelmingly dominate property ownership, holding 1,774 properties (74.8%) of all landlord-owned SFR, significantly eclipsing the 644 properties (27.2%) owned by companies. This pattern suggests that mom-and-pop investors are the primary property holders, challenging perceptions of corporate control.

The prevalence of individual ownership is further highlighted by entity counts, with 2,052 individual landlords compared to just 445 company landlords. This 4.6-to-1 ratio firmly establishes the mom-and-pop foundation of Rusk County's landlord ecosystem.

Cash acquisitions are the favored method for property investment, funding 1,788 (75.4%) of all investor-owned properties. This strong preference for cash over financed acquisitions (583 properties, 24.6%) indicates robust equity positions among landlords or a cautious approach to leveraging debt.

A vast majority of landlord-owned properties are geared towards rental income, with 2,311 properties (97.5%) actively rented. This high concentration confirms the rental-centric strategy adopted by most investors in the county.

While comprehensive data on individual vs. company portfolio composition by property type (rented/financed/cash) is not explicitly detailed, the overall dominance of individual ownership strongly implies that mom-and-pop landlords are largely driving the cash-heavy acquisition strategy within their portfolios.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
Landlords secured a massive $103,897 (36.0%) discount compared to homeowners in Q4.
Detailed Findings

In Q4 2025, landlords in Rusk County acquired properties at an average price of $184,628, achieving a remarkable $103,897 (36.0%) discount compared to traditional homeowners who paid $288,525. This significant markdown underscores landlords' superior ability to identify and secure undervalued assets.

The landlord price advantage exhibited considerable volatility throughout 2025, starting with a 28.6% discount ($66,224) in Q1, peaking at an impressive 44.5% ($115,777) in Q3, before settling at 36.0% in Q4. This fluctuating trend suggests a dynamic market where the extent of landlord savings varies significantly quarter-over-quarter.

Despite the quarterly shifts, landlords consistently paid substantially less than both all purchasers and traditional homeowners across all reported quarters in 2025. This enduring price gap points to distinct purchasing strategies or access to different market segments that provide investors with a competitive edge.

While no new properties were acquired by landlords in 2025-Q4, historical context reveals that average landlord acquisition prices were $138,694 during the 2020-2023 pandemic boom era. The reported Q4 2025 average of $184,628, if indicative of overall market value, implies a potential 33.1% price appreciation over the past few years.

Traditional homeowner prices in Rusk County have shown a consistent upward trend throughout 2025, rising from $231,425 in Q1 to $288,525 in Q4. This steady appreciation suggests a robust market for non-investor buyers, even as landlords continue to secure steep discounts.

The substantial and persistent price discrepancies, often exceeding 30%, between landlord and homeowner acquisitions, highlight potential market inefficiencies or differing acquisition channels that disproportionately benefit investors in Rusk County.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords secured 33.3% of Q4 SFR purchases, with mom-and-pops dominating 90.7% of activity.
Detailed Findings

Landlords demonstrated significant market activity in Q4 2025, being responsible for 43 (33.3%) of the 129 total SFR purchases in Rusk County. This indicates a strong investor presence absorbing a substantial portion of the available properties in the quarter.

Mom-and-pop landlords, encompassing Tiers 01-04 (1-10 properties), overwhelmingly drove Q4 acquisitions, purchasing 39 properties which represented 90.7% of all landlord purchases. This solidifies their role as the primary buying force in the local market.

The market experienced a notable influx of new investors, with 40 distinct entities identified as single-property landlords (Tier 01) entering in Q4 and acquiring 27 properties. This signals an accessible and attractive market for first-time investors looking to establish a rental portfolio.

In stark contrast to the mom-and-pop activity, institutional investors (Tier 09, 1000+ properties) showed minimal engagement, making only 1 purchase that accounted for a mere 2.3% of total landlord acquisitions. This low activity suggests a limited or cautious approach from large-scale entities in Rusk County.

The single-property tier (Tier 01) alone was a pivotal driver of quarterly activity, accounting for 27 properties (62.8%) of all landlord purchases. This underscores the foundational role of small-scale investors in the market's acquisition momentum.

Beyond Tier 01, other mom-and-pop segments (Tiers 02-04) collectively purchased 12 properties, further reinforcing the broad-based buying activity of smaller investors across multiple portfolio sizes.

The ratio of properties acquired to entities involved, particularly in Tier 01 (27 properties by 40 entities), indicates a fragmented buying landscape largely driven by individual, single-property acquisitions rather than concentrated purchases by a few large entities.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control 92.0% of investor-owned SFR.
Detailed Findings

Mom-and-pop landlords (Tiers 01-04, 1-10 properties) overwhelmingly dominate the market, collectively controlling a staggering 92.0% of all investor-owned SFR properties in Rusk County. This represents 2,258 properties and firmly establishes them as the foundational pillar of the local rental housing market.

The single-property landlord tier (Tier 01) forms the core of this dominance, owning 1,660 properties, which accounts for 67.6% of the entire investor-owned SFR portfolio. This highlights the critical role of first-time and small-scale investors as the primary owners of rental housing.

Institutional investors (Tier 09, 1000+ properties) hold a remarkably negligible share of the market, controlling only 8 properties, which represents a mere 0.3% of the total investor-owned SFR. This low concentration directly challenges the popular narrative of widespread corporate landlord dominance in this county.

The market structure is characterized by a strong concentration in the small-to-mid investor segments, with Tiers 01-04 holding 92.0% and an additional 7.3% (181 properties) held by Tiers 11-50. This demonstrates a highly fragmented and locally driven market.

Ownership sharply declines beyond the mom-and-pop tiers; for instance, the Medium-large (51-100) tier holds only 3 properties (0.1%), and the Large (101-1000) tier just 4 properties (0.2%). This reveals that very few landlords in Rusk County scale their portfolios beyond a mid-size level.

The heavy concentration of properties in mom-and-pop hands suggests a market that is more susceptible to individual financial decisions and local economic dynamics, rather than being swayed by large, institutional investment strategies.

While this section provides ownership distribution, specific tier-by-tier acquisition pricing data for historical periods is not available here, preventing an analysis of how prices have varied by tier over time in this specific dataset.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Company ownership surpasses individuals at the 6-10 and 21-50 property tiers.
Detailed Findings

Company ownership transcends individual ownership at two distinct portfolio sizes in Rusk County: first within the small landlord (6-10 properties) tier, where companies hold 119 properties (60.4%), and subsequently in the small-medium (21-50 properties) tier, with 56 properties (56.6%) owned by companies. This pattern suggests selective scaling strategies by corporate entities.

Individual investors remain the foundational force in smaller portfolios, owning 1,353 properties (80.7%) in the single-property (Tier 01) tier and 129 properties (75.4%) in the two-property (Tier 02) tier. This data reinforces the mom-and-pop bedrock of the local investment market.

An unexpected trend emerges in the small-medium (11-20 properties) tier, where individual ownership reclaims dominance at 79.3% (65 properties) after companies achieved a majority in the preceding tier. This anomaly could signify unique local strategies or market preferences among individual investors for portfolios of this size.

Instead of a uniform scale, companies appear to strategically concentrate their holdings in specific mid-sized tiers (6-10 properties and 21-50 properties), rather than expanding indiscriminately across all portfolio sizes. This targeted approach indicates a calculated investment strategy.

The data reveals a nuanced ownership structure, where individuals clearly prevail in the smallest tiers, companies achieve majority in certain mid-range tiers, then individuals briefly regain dominance, before companies reassert control in another mid-range segment. This complex interplay defies a simple linear progression.

These tiered ownership splits imply that market dynamics in Rusk County are not simply a binary individual vs. company scenario, but a complex interaction influenced significantly by portfolio size and the specific operational advantages of each entity type.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
TX-Rusk-75652 leads with 755 investor-owned properties, comprising 24.8% of local SFR.
Detailed Findings

Investor-owned properties in Rusk County are highly concentrated geographically, with zip codes TX-Rusk-75652, TX-Rusk-75654, and TX-Rusk-75662 collectively holding the vast majority of assets. These areas account for 755, 543, and 312 properties respectively, indicating specific hotbeds of investment activity within the county.

Beyond raw counts, TX-Rusk-75687 and TX-Rusk-75666 demonstrate exceptionally high investor ownership rates, with 50.0% of all SFR properties in each of these zip codes being landlord-owned. This signifies intense market penetration and a strong rental focus in these micro-markets.

A notable disconnect exists between areas with the highest investor property counts and those with the highest ownership percentages. For example, while 75652 leads in property count (755), its ownership rate is 24.8%, whereas 75687 and 75666 have lower counts but a 50.0% investor ownership rate. This highlights diverse investment motivations or market structures.

Even in the zip codes with the highest volume of investor properties, such as TX-Rusk-75652, the investor ownership rate remains at 24.8%. This suggests that while investors are actively acquiring, a significant portion of the housing market in these areas is still occupied by traditional homeowners.

The substantial variation in investor-owned property counts (from 755 in 75652 down to 49 in 75603) and ownership rates (from 50.0% to 16.4%) across Rusk County's zip codes underlines the highly localized nature of real estate investment trends, even within a single county.

Data for certain regions, specifically TX-Rusk-75669 and TX-Rusk-75680, is listed as unavailable or 'nan properties,' which prevents a comprehensive assessment of investor activity or market penetration in these particular zip codes.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Chart Section11 Yoy Institutional
Key Insight
All landlords are net buyers (207 buys in 2025), while institutions became Q4 net sellers.
Detailed Findings

Landlords in Rusk County have consistently operated as strong net buyers, acquiring significantly more properties than they sold across all reported timeframes. In 2025, the overall landlord sector purchased 207 properties against only 43 sells, resulting in a substantial net addition of 164 properties to their portfolios.

The Q4 2025 period continued this trend, with landlords demonstrating robust buying momentum by purchasing 56 properties while selling just 8, leading to a net gain of 48 properties. This indicates ongoing expansion within the broader landlord segment of the market.

A critical shift occurred among institutional investors (1000+ tier) in Q4 2025, as they became net sellers, divesting 2 properties while acquiring only 1. This marks a notable reversal from their net buyer position in Q2 and Q3 2025, signaling a change in strategy.

Despite their Q4 divestment, institutional investors were net buyers for the full year 2025, acquiring 14 properties and selling 9, for a net gain of 5. However, their 2024 activity also saw them as net sellers (3 buys vs 4 sells), suggesting a more erratic pattern compared to smaller landlords.

The sustained net buying behavior by the general landlord community in both 2024 (139 net buys) and 2025 (164 net buys) signals unwavering confidence and continued investment in the Rusk County SFR market, indicating a bullish outlook from most investors.

The clear divergence in Q4 2025, with all landlords actively buying while institutional investors are selling, suggests distinct market outlooks or portfolio management strategies based on investor size and capital deployment.

Crucially, data regarding the percentage of buy transactions from other landlords and average buy/sell prices is not available in this section. This limits a comprehensive analysis of market liquidity, inter-landlord trading patterns, and implied profit margins on transactions.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlords commanded 30.3% of Q4 transactions; mom-and-pops drove 52 of 56 purchases.
Detailed Findings

Landlords played a significant role in Q4 2025 market activity, engaging in 56 transactions, which represented 30.3% of all 185 SFR transactions in Rusk County. This underscores their substantial influence on the quarterly sales volume.

Mom-and-pop landlords (Tiers 01-04) were the overwhelming drivers of Q4 transactions, making 52 of the 56 total landlord purchases. Specifically, the single-property tier (Tier 01) alone accounted for 40 transactions, highlighting their pervasive presence in recent acquisitions.

Institutional investors (Tier 09) demonstrated a clear pricing advantage in Q4, acquiring properties at an average price of $136,400. This represents a significant 33.5% discount compared to single-property landlords (Tier 01) who paid an average of $205,263, suggesting larger investors leverage economies of scale or access to different deal flows.

Inter-landlord trading was minimal in Q4, with only 4 (7.1%) of landlord purchases originating from other landlords, all attributed to single-property buyers (Tier 01). This low percentage indicates that the quarter was not characterized by significant portfolio transfers between existing investors.

Average purchase prices varied substantially across investor tiers, from a low of $43,705 for small landlords (Tier 03-05) to a high of $234,270 for two-property landlords (Tier 02). This broad range illustrates diverse investment strategies and target price points among different investor segments.

The absence of numeric average purchase prices for Tiers 11-20 and 21-50, despite reporting 1 transaction each, limits comprehensive price comparison for these mid-tier segments. This data gap could be due to a lack of recorded price or a specific data handling method for low-volume tiers.

In contrast to institutional investors, smaller landlords (e.g., Tier 01 at $205,263 and Tier 02 at $234,270) generally incurred higher average purchase prices than larger tiers (e.g., Tier 101-1000 at $176,800 and Institutional Tier 09 at $136,400), indicating differing property targets or negotiating power.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Holdings
Pricing
Activity
Market Share
Ownership Type
Transactions
Market Narrative

About This Report

Report Methodology

This report analyzes BatchData's Investor Pulse dataset, covering single-family residential (SFR) investor activity across the United States.

Data is extracted from 15 CSV files covering ownership, transactions, and pricing trends, then analyzed using AI-powered insights.

Property Counting Methodology:

Distinct Counts: All headline totals represent distinct properties. If 2+ landlords co-own the same property, it's counted only once. This provides accurate market representation.

Category Breakdowns: When analyzing by tier (01-09), owner type (Individual/Corporate), or occupancy status, properties with co-ownership across categories are counted once per category. This causes breakdowns to sum 2-4% higher than totals, and percentages may sum to 100-104%. This is expected and reflects co-ownership patterns.

TierPropertiesCategory
01-041-10Mom-and-Pop
05-0711-100Mid-Size
08101-1000Large
091000+Institutional
About BatchData

BatchData provides comprehensive real estate data and analytics, offering insights into property ownership, investor activity, and market trends across the United States.

The Investor Pulse dataset tracks single-family residential (SFR) investor behavior at national, state, county, and MSA levels.

For more information, visit batchdata.io or explore our API documentation.

Data Freshness
Report GeneratedMarch 18, 2026 at 03:29 PM
Data PeriodQ4 2025
Geography LevelCounty
GeographyRusk (TX)
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Chart Section2 Coverage
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Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
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Chart Section4 Distribution
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Chart Section5 Holdings
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Chart Section6 Prices
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Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
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Chart Section6 Trends
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Chart Section7 Purchases
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Chart Section7 Tiers
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Chart Section8 Distribution
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Chart Section8 Prices
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Chart Section8 Prices Q4
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Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
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Chart Section9 Ownership
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Chart Section9 Growth
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Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
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Chart Section10 Top Pct
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Chart Section11 Buysell
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Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
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Chart Section11 Institutional Price
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Chart Section11 Yoy Institutional
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Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail