Target Hospitality (TH) Accumulated Expenses (2018 - 2026)
Target Hospitality's (TH) quarterly Accumulated Expenses came in at $24.4 million in Q2 2026, up 41.87% year-over-year from $17.2 million in Q2 2025, and up 32.77% quarter-over-quarter from $18.3 million in Q1 2026.
Target Hospitality (TH) Accumulated Expenses (2018 - 2026) Analysis & Trends
Target Hospitality (TH) has reported Accumulated Expenses for 9 consecutive years, with $24.4 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Accumulated Expenses rose 41.87% year-over-year to $24.4 million in Q2 2026; TTM through Jun 2026 was $24.4 million, a 41.87% increase from a year earlier, with the FY2025 full-year figure at $22.5 million, down 12.83% from the prior year.
- Accumulated Expenses was $24.4 million for Q2 2026 at Target Hospitality, up from $18.3 million in the prior quarter.
- Over five years, Accumulated Expenses peaked at $39.6 million in Q4 2022 and troughed at $17.2 million in Q2 2025.
- A 5-year average of $25.9 million and a median of $25.8 million in 2024 frame the typical range for Accumulated Expenses.
- Across the five-year window, Accumulated Expenses jumped 64.26% in 2023 and sank 51.45% in 2025, its largest moves.
- Over 5 years, Accumulated Expenses stood at $39.6 million in 2022, then decreased by 15.11% to $33.7 million in 2023, then dropped by 23.39% to $25.8 million in 2024, then decreased by 12.83% to $22.5 million in 2025, then advanced by 8.37% to $24.4 million in 2026.
- The last three Accumulated Expenses figures came in at $24.4 million (Q2 2026), $18.3 million (Q1 2026), and $22.5 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Sunbelt Rentals Holdings | 30.16 Bn | 30.13 Bn | 1.25 Bn |
| 2 | Herc Holdings | 4.52 Bn | 4.48 Bn | 713.00 Mn |
| 3 | EquipmentShare.com | 3.88 Bn | 3.43 Bn | 411.00 Mn |
| 4 | WillScot Holdings | 3.29 Bn | 3.29 Bn | 306.26 Mn |
| 5 | Mcgrath Rentcorp | 2.71 Bn | 2.71 Bn | 107.91 Mn |
| 6 | Target Hospitality | 2.13 Bn | 2.12 Bn | 15.80 Mn |
| 7 | Custom Truck One Source | 2.12 Bn | 2.11 Bn | 123.97 Mn |
| 8 | NPK International | 1.08 Bn | 1.07 Bn | 30.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.36 Mn |
| Mar 31, 2026 | 18.35 Mn |
| Dec 31, 2025 | 22.48 Mn |
| Sep 30, 2025 | 17.54 Mn |
| Jun 30, 2025 | 17.17 Mn |
| Mar 31, 2025 | 17.44 Mn |
| Dec 31, 2024 | 25.78 Mn |
| Sep 30, 2024 | 22.68 Mn |
| Jun 30, 2024 | 25.76 Mn |
| Mar 31, 2024 | 35.93 Mn |
| Dec 31, 2023 | 33.65 Mn |
| Sep 30, 2023 | 31.46 Mn |
| Jun 30, 2023 | 31.93 Mn |
| Mar 31, 2023 | 29.20 Mn |
| Dec 31, 2022 | 39.64 Mn |
| Sep 30, 2022 | 27.04 Mn |
| Jun 30, 2022 | 28.51 Mn |
| Mar 31, 2022 | 17.77 Mn |
| Dec 31, 2021 | 33.13 Mn |
| Sep 30, 2021 | 21.22 Mn |
Target Hospitality Accumulated 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=accumulated-expenses&ticker=TH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();