Target Hospitality (TH) Operating Expenses (2017 - 2026)
Target Hospitality's (TH) quarterly Operating Expenses came in at $18.8 million in Q2 2026, up 48.08% year-over-year from $12.7 million in Q2 2025, and up 28.82% quarter-over-quarter from $14.6 million in Q1 2026.
Target Hospitality (TH) Operating Expenses (2017 - 2026) Analysis & Trends
Target Hospitality (TH) has reported Operating Expenses for 10 consecutive years, with $18.8 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Expenses rose 48.08% year-over-year to $18.8 million in Q2 2026; TTM through Jun 2026 was $64.3 million, a 20.47% increase from a year earlier, with the FY2025 full-year figure at $58.5 million, up 7.83% from the prior year.
- Operating Expenses was $18.8 million for Q2 2026 at Target Hospitality, up from $14.6 million in the prior quarter.
- Over five years, Operating Expenses peaked at $19.2 million in Q3 2022 and troughed at $11.1 million in Q2 2022.
- A 5-year average of $14.4 million and a median of $14.0 million in 2023 frame the typical range for Operating Expenses.
- Across the five-year window, Operating Expenses jumped 49.44% in 2022 and retreated 23.19% in 2023, its largest moves.
- Over 5 years, Operating Expenses stood at $15.9 million in 2022, then decreased by 23.19% to $12.2 million in 2023, then rose by 3.52% to $12.6 million in 2024, then soared by 43.52% to $18.1 million in 2025, then grew by 3.49% to $18.8 million in 2026.
- The last three Operating Expenses figures came in at $18.8 million (Q2 2026), $14.6 million (Q1 2026), and $18.1 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Sunbelt Rentals Holdings | 30.16 Bn | 30.13 Bn | 1.25 Bn | 989.00 Mn |
| 2 | Herc Holdings | 4.52 Bn | 4.48 Bn | 713.00 Mn | 158.00 Mn |
| 3 | EquipmentShare.com | 3.88 Bn | 3.43 Bn | 411.00 Mn | 332.00 Mn |
| 4 | WillScot Holdings | 3.29 Bn | 3.29 Bn | 306.26 Mn | 165.71 Mn |
| 5 | Mcgrath Rentcorp | 2.71 Bn | 2.71 Bn | 107.91 Mn | 56.44 Mn |
| 6 | Target Hospitality | 2.13 Bn | 2.12 Bn | 15.80 Mn | 18.75 Mn |
| 7 | Custom Truck One Source | 2.12 Bn | 2.11 Bn | 123.97 Mn | 77.36 Mn |
| 8 | NPK International | 1.08 Bn | 1.07 Bn | 30.16 Mn | 14.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.75 Mn |
| Mar 31, 2026 | 14.56 Mn |
| Dec 31, 2025 | 18.12 Mn |
| Sep 30, 2025 | 12.92 Mn |
| Jun 30, 2025 | 12.66 Mn |
| Mar 31, 2025 | 14.81 Mn |
| Dec 31, 2024 | 12.63 Mn |
| Sep 30, 2024 | 13.32 Mn |
| Jun 30, 2024 | 13.46 Mn |
| Mar 31, 2024 | 14.86 Mn |
| Dec 31, 2023 | 12.20 Mn |
| Sep 30, 2023 | 15.27 Mn |
| Jun 30, 2023 | 13.46 Mn |
| Mar 31, 2023 | 15.20 Mn |
| Dec 31, 2022 | 15.88 Mn |
| Sep 30, 2022 | 19.15 Mn |
| Jun 30, 2022 | 11.10 Mn |
| Mar 31, 2022 | 11.76 Mn |
| Dec 31, 2021 | 10.63 Mn |
| Sep 30, 2021 | 12.83 Mn |
Target Hospitality Operating Expenses 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=operating-expenses&ticker=TH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();