Tetra Technologies (TTI) Shares Outstanding (Diluted) (2009 - 2026)
Tetra Technologies' Shares Outstanding (Diluted) came in at 140.62 million for Q2 2026, up 5.4% from 133.42 million a year earlier and up 2.4% from the prior quarter.
Tetra Technologies (TTI) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Tetra Technologies' Shares Outstanding (Diluted) was 135.15 million, up 2.2% from FY2024.
- Shares Outstanding (Diluted) has increased in each of the last 11 years, with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 132.23 million in FY2024 (+0.8%), 131.24 million in FY2023 (+1.1%), 129.78 million in FY2022 (+2.5%) and 126.6 million in FY2021 (+0.6%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2009.
- Year-over-year, Shares Outstanding (Diluted) has increased for seven consecutive quarters, with growth averaging 1.9% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q2 2026 (growth of 5.4%), and the weakest in Q3 2022 (a decline of 0.2%).
- Business Quant data shows TTI's Shares Outstanding (Diluted) at 137.32 million (Q1 2026), 135.15 million (Q4 2025) and 134.84 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 1.51 Bn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 997.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 404.50 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 838.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 362.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 159.57 Mn |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | 1.20 Bn |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 72.20 Mn |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 70.40 Mn |
| 10 | Tetra Technologies | 870.67 Mn | 529.16 Mn | 45.71 Mn | 140.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.62 Mn |
| Mar 31, 2026 | 137.32 Mn |
| Dec 31, 2025 | 135.15 Mn |
| Sep 30, 2025 | 134.84 Mn |
| Jun 30, 2025 | 133.42 Mn |
| Mar 31, 2025 | 133.76 Mn |
| Dec 31, 2024 | 132.23 Mn |
| Sep 30, 2024 | 132.03 Mn |
| Jun 30, 2024 | 132.17 Mn |
| Mar 31, 2024 | 132.12 Mn |
| Dec 31, 2023 | 131.24 Mn |
| Sep 30, 2023 | 132.09 Mn |
| Jun 30, 2023 | 129.93 Mn |
| Mar 31, 2023 | 129.98 Mn |
| Dec 31, 2022 | 129.78 Mn |
| Sep 30, 2022 | 128.41 Mn |
| Jun 30, 2022 | 130.10 Mn |
| Mar 31, 2022 | 129.21 Mn |
| Dec 31, 2021 | 126.60 Mn |
| Sep 30, 2021 | 128.69 Mn |
Tetra Technologies 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=TTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "TTI", "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=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();