Target Hospitality (TH) Total Liabilities (2017 - 2026)
Target Hospitality (TH) recorded Total Liabilities of $284.08 million in Q2 2026, up 114.4% from $132.53 million a year earlier and up 74.4% from the prior quarter.
Target Hospitality (TH) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Target Hospitality reported Total Liabilities of $140.95 million, down 53.7% from FY2024.
- Annual Total Liabilities has declined for three straight years, with a five-year compound annual growth rate of -20.2% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $304.68 million in FY2024 (-3.9%), $317.05 million in FY2023 (-44.5%), $570.88 million in FY2022 (+37.2%) and $416.12 million in FY2021 (-4.4%).
- The Q2 2026 figure is the highest quarterly Total Liabilities since Q4 2024.
- On a year-over-year basis, Total Liabilities rose in two of the last eight quarters, with an average decline of 14.0%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 114.4% in Q2 2026, against a decline of 55.8% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $162.92 million (Q1 2026), $140.95 million (Q4 2025) and $138.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 64.18 Bn | 62.94 Bn | 1.73 Bn | 22.09 Bn |
| 2 | W.W. Grainger | 62.30 Bn | 59.90 Bn | 1.98 Bn | 5.11 Bn |
| 3 | Fastenal | 58.56 Bn | 57.48 Bn | 1.06 Bn | 1.22 Bn |
| 4 | Ferguson Enterprises | 44.07 Bn | 41.28 Bn | 2.32 Bn | 11.92 Bn |
| 5 | Sunbelt Rentals Holdings | 31.19 Bn | 31.07 Bn | 1.25 Bn | 16.17 Bn |
| 6 | Reliance | 21.34 Bn | 20.38 Bn | 1.30 Bn | 3.75 Bn |
| 7 | Wesco International | 16.69 Bn | 14.00 Bn | 1.46 Bn | 12.59 Bn |
| 8 | Applied Industrial Technologies | 12.48 Bn | 12.35 Bn | 411.22 Mn | 1.15 Bn |
| 9 | Watsco | 11.24 Bn | 8.93 Bn | 578.93 Mn | 1.61 Bn |
| 10 | Target Hospitality | 1.54 Bn | 1.49 Bn | 15.80 Mn | 284.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 284.08 Mn |
| Mar 31, 2026 | 162.92 Mn |
| Dec 31, 2025 | 140.95 Mn |
| Sep 30, 2025 | 138.78 Mn |
| Jun 30, 2025 | 132.53 Mn |
| Mar 31, 2025 | 147.25 Mn |
| Dec 31, 2024 | 304.68 Mn |
| Sep 30, 2024 | 292.15 Mn |
| Jun 30, 2024 | 299.88 Mn |
| Mar 31, 2024 | 311.64 Mn |
| Dec 31, 2023 | 317.05 Mn |
| Sep 30, 2023 | 358.25 Mn |
| Jun 30, 2023 | 375.65 Mn |
| Mar 31, 2023 | 408.01 Mn |
| Dec 31, 2022 | 570.88 Mn |
| Sep 30, 2022 | 584.08 Mn |
| Jun 30, 2022 | 422.33 Mn |
| Mar 31, 2022 | 394.23 Mn |
| Dec 31, 2021 | 416.12 Mn |
| Sep 30, 2021 | 436.51 Mn |
Target Hospitality Total Liabilities 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=total-liabilities&ticker=TH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();