Target Hospitality (TH) Property, Plant & Equipment (Net) (2018 - 2025)
Target Hospitality (TH) reported Property, Plant & Equipment (Net) of $331.69 million for Q3 2025, unchanged from $331.58 million a year earlier and up 4.5% from the prior quarter.
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Analysis
Target Hospitality (TH) Property, Plant & Equipment (Net) (2018 - 2025) Analysis & Trends
At the end of FY2024, Target Hospitality posted Property, Plant & Equipment (Net) of $320.85 million, down 8.1% from FY2023.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -1.9% (FY2019 to FY2024).
- By year, Property, Plant & Equipment (Net) came in at $349.06 million in FY2023 (-2.3%), $357.13 million in FY2022 (+22.4%), $291.79 million in FY2021 (-6.3%) and $311.49 million in FY2020 (-11.9%).
- The Q3 2025 figure ranks as the highest quarterly Property, Plant & Equipment (Net) since Q2 2024.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q1 2023 (growth of 31.2%); the low point was Q1 2021 (a decline of 13.0%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $317.38 million (Q2 2025), $326.13 million (Q1 2025) and $320.85 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.45 Bn | 67.57 Bn | 2.05 Bn | 19.52 Bn |
| 2 | W.W. Grainger | 63.61 Bn | 61.20 Bn | 1.98 Bn | 2.40 Bn |
| 3 | Fastenal | 59.55 Bn | 58.55 Bn | 1.10 Bn | 1.19 Bn |
| 4 | Ferguson Enterprises | 44.15 Bn | 41.36 Bn | 2.32 Bn | 1.93 Bn |
| 5 | Sunbelt Rentals Holdings | 32.30 Bn | 32.18 Bn | 1.25 Bn | 13.95 Bn |
| 6 | Reliance | 21.32 Bn | 20.36 Bn | 1.30 Bn | 2.65 Bn |
| 7 | Wesco International | 15.46 Bn | 12.78 Bn | 1.46 Bn | 484.10 Mn |
| 8 | Watsco | 12.30 Bn | 9.98 Bn | 578.93 Mn | 146.89 Mn |
| 9 | Applied Industrial Technologies | 11.84 Bn | 11.72 Bn | 411.22 Mn | 131.65 Mn |
| 10 | Target Hospitality | 1.39 Bn | 1.34 Bn | 15.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 331.69 Mn |
| Jun 30, 2025 | 317.38 Mn |
| Mar 31, 2025 | 326.13 Mn |
| Dec 31, 2024 | 320.85 Mn |
| Sep 30, 2024 | 331.58 Mn |
| Jun 30, 2024 | 336.44 Mn |
| Mar 31, 2024 | 342.99 Mn |
| Dec 31, 2023 | 349.06 Mn |
| Sep 30, 2023 | 360.16 Mn |
| Jun 30, 2023 | 366.23 Mn |
| Mar 31, 2023 | 369.76 Mn |
| Dec 31, 2022 | 357.13 Mn |
| Sep 30, 2022 | 348.28 Mn |
| Jun 30, 2022 | 290.65 Mn |
| Mar 31, 2022 | 281.84 Mn |
| Dec 31, 2021 | 291.79 Mn |
| Sep 30, 2021 | 294.37 Mn |
| Jun 30, 2021 | 300.33 Mn |
| Mar 31, 2021 | 302.24 Mn |
| Dec 31, 2020 | 311.49 Mn |
API Access
Target Hospitality Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();