Target Hospitality (TH) Selling, General & Administrative (2018 - 2026)
Target Hospitality (TH) posted Selling, General & Administrative of $18.75 million for Q2 2026, up 48.1% from $12.66 million a year earlier and up 28.8% from the prior quarter.
Target Hospitality (TH) Selling, General & Administrative (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Target Hospitality was $64.35 million, up 20.5% year-over-year; for FY2025, it came in at $58.51 million, up 7.8% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, Target Hospitality's Selling, General & Administrative was $54.26 million in FY2024 (-3.3%), $56.13 million in FY2023 (-3.1%), $57.89 million in FY2022 (+24.6%) and $46.46 million in FY2021 (+21.9%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative since Q3 2022.
- On a year-over-year basis, Selling, General & Administrative increased in three of the last eight quarters, with growth averaging 8.9%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q3 2021, with growth of 50.8%; the weakest was Q4 2023, with a decline of 23.2%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $14.56 million (Q1 2026), $18.12 million (Q4 2025) and $12.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.86 Bn | 67.98 Bn | 2.05 Bn | 511.00 Mn |
| 2 | W.W. Grainger | 64.05 Bn | 61.64 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 60.38 Bn | 59.38 Bn | 1.10 Bn | 573.90 Mn |
| 4 | Ferguson Enterprises | 44.23 Bn | 41.45 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 32.21 Bn | 32.09 Bn | 1.25 Bn | 443.00 Mn |
| 6 | Reliance | 21.26 Bn | 20.30 Bn | 1.30 Bn | 789.40 Mn |
| 7 | Wesco International | 15.74 Bn | 13.06 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Watsco | 12.52 Bn | 10.20 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Applied Industrial Technologies | 11.94 Bn | 11.81 Bn | 411.22 Mn | 251.91 Mn |
| 10 | Target Hospitality | 1.38 Bn | 1.33 Bn | 15.80 Mn | 18.75 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 Selling, General & Administrative 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=selling-general-and-administrative&ticker=TH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();