Target Hospitality (TH) Shares Outstanding (Diluted) (2019 - 2026)
Target Hospitality (TH) reported Shares Outstanding (Diluted) of 100.21 million for Q2 2026, up 0.8% from 99.4 million a year earlier and up 0.3% from the prior quarter.
Target Hospitality (TH) Shares Outstanding (Diluted) (2019 - 2026) Analysis & Trends
For FY2025, Target Hospitality posted Shares Outstanding (Diluted) of 99.52 million, down 1.9% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 101.43 million in FY2024 (-3.7%), 105.32 million in FY2023 (+5.3%), 100.06 million in FY2022 (+3.6%) and 96.61 million in FY2021 (+0.6%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) since Q4 2024.
- Year over year, Shares Outstanding (Diluted) gained in two of the last eight quarters, with an average decline of 1.8%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2023 (growth of 9.6%); the low point was Q4 2024 (a decline of 3.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 99.93 million (Q1 2026), 99.52 million (Q4 2025) and 99.78 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 47.20 Mn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 1.15 Bn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 194.80 Mn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 411.31 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 51.38 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 49.40 Mn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 37.86 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 38.19 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 677.20 Mn |
| 10 | Target Hospitality | 1.98 Bn | 1.93 Bn | 15.80 Mn | 100.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.21 Mn |
| Mar 31, 2026 | 99.93 Mn |
| Dec 31, 2025 | 99.52 Mn |
| Sep 30, 2025 | 99.78 Mn |
| Jun 30, 2025 | 99.40 Mn |
| Mar 31, 2025 | 99.11 Mn |
| Dec 31, 2024 | 101.43 Mn |
| Sep 30, 2024 | 101.30 Mn |
| Jun 30, 2024 | 101.25 Mn |
| Mar 31, 2024 | 102.36 Mn |
| Dec 31, 2023 | 105.32 Mn |
| Sep 30, 2023 | 105.09 Mn |
| Jun 30, 2023 | 105.05 Mn |
| Mar 31, 2023 | 106.26 Mn |
| Dec 31, 2022 | 100.06 Mn |
| Sep 30, 2022 | 97.24 Mn |
| Jun 30, 2022 | 97.08 Mn |
| Mar 31, 2022 | 96.94 Mn |
| Dec 31, 2021 | 96.61 Mn |
| Sep 30, 2021 | 96.81 Mn |
Target Hospitality Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=TH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=TH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();