Target Hospitality (TH) Retained Earnings (2017 - 2026)
Target Hospitality's Retained Earnings was $273.31 million in Q2 2026, down 12.1% from $310.99 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Target Hospitality (TH) Retained Earnings (2017 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Target Hospitality came in at $295.26 million, down 11.2% from FY2024.
- Retained Earnings shows a five-year compound annual growth rate of 74.4% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $332.38 million in FY2024 (+27.3%), $261.12 million in FY2023 (+197.8%), $87.68 million in FY2022 (+538.0%) and $13.74 million in FY2021 (-25.0%).
- The Q2 2026 figure marks the lowest quarterly Retained Earnings since Q4 2023.
- Compared with a year earlier, Retained Earnings has declined for four straight quarters, with growth averaging 6.3% over the last eight quarters.
- The best year-over-year quarter for Retained Earnings over five years was Q1 2023 (growth of 821.8%); the worst was Q3 2021 (a decline of 60.4%).
- Per Business Quant data, TH's Retained Earnings in the three quarters before Q2 2026 was $282.34 million (Q1 2026), $295.26 million (Q4 2025) and $310.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.18 Bn | 62.94 Bn | 1.73 Bn | 16.88 Bn |
| 2 | W.W. Grainger | 62.30 Bn | 59.90 Bn | 1.98 Bn | 15.86 Bn |
| 3 | Fastenal | 58.56 Bn | 57.48 Bn | 1.06 Bn | 4.04 Bn |
| 4 | Ferguson Enterprises | 44.07 Bn | 41.28 Bn | 2.32 Bn | 7.40 Bn |
| 5 | Sunbelt Rentals Holdings | 31.19 Bn | 31.07 Bn | 1.25 Bn | 7.77 Bn |
| 6 | Reliance | 21.34 Bn | 20.38 Bn | 1.30 Bn | 7.48 Bn |
| 7 | Wesco International | 16.69 Bn | 14.00 Bn | 1.46 Bn | 5.82 Bn |
| 8 | Applied Industrial Technologies | 12.48 Bn | 12.35 Bn | 411.22 Mn | 2.79 Bn |
| 9 | Watsco | 11.24 Bn | 8.93 Bn | 578.93 Mn | 1.31 Bn |
| 10 | Target Hospitality | 1.54 Bn | 1.49 Bn | 15.80 Mn | 273.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 273.31 Mn |
| Mar 31, 2026 | 282.34 Mn |
| Dec 31, 2025 | 295.26 Mn |
| Sep 30, 2025 | 310.19 Mn |
| Jun 30, 2025 | 310.99 Mn |
| Mar 31, 2025 | 325.92 Mn |
| Dec 31, 2024 | 332.38 Mn |
| Sep 30, 2024 | 319.88 Mn |
| Jun 30, 2024 | 299.88 Mn |
| Mar 31, 2024 | 281.50 Mn |
| Dec 31, 2023 | 261.12 Mn |
| Sep 30, 2023 | 223.27 Mn |
| Jun 30, 2023 | 177.69 Mn |
| Mar 31, 2023 | 131.24 Mn |
| Dec 31, 2022 | 87.68 Mn |
| Sep 30, 2022 | 56.11 Mn |
| Jun 30, 2022 | 37.09 Mn |
| Mar 31, 2022 | 14.24 Mn |
| Dec 31, 2021 | 13.74 Mn |
| Sep 30, 2021 | 10.95 Mn |
API Access
Target Hospitality Retained Earnings API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=retained-earnings&ticker=TH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "TH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=TH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();