Tetra Technologies (TTI) Revenue (2009 - 2026)
Tetra Technologies' Revenue came in at $185.66 million for Q2 2026, up 6.8% from $173.87 million a year earlier and up 18.8% from the prior quarter.
Tetra Technologies (TTI) Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Tetra Technologies reported Revenue of $641.83 million, up 5.7% year-over-year; for FY2025, it was $630.93 million, up 5.3% from FY2024.
- Revenue carries a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- Going back by year, Revenue was $599.11 million in FY2024 (-4.3%), $626.26 million in FY2023 (+13.2%), $553.21 million in FY2022 (+42.5%) and $388.27 million in FY2021 (+2.8%).
- The Q2 2026 figure represents the highest quarterly Revenue since Q3 2019.
- Year-over-year, Revenue increased in five of the last eight quarters, with growth averaging 1.3%.
- The fastest year-over-year change in Revenue over five years came in Q1 2022 (growth of 68.2%), and the weakest in Q4 2024 (a decline of 12.2%).
- Business Quant data shows TTI's Revenue at $156.25 million (Q1 2026), $146.68 million (Q4 2025) and $153.24 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn | 8.97 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn | 6.74 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn | 2.76 Bn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn | 5.71 Bn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn | 2.13 Bn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn | 719.69 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn | 1.11 Bn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn | 966.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn | 539.20 Mn |
| 10 | Tetra Technologies | 875.11 Mn | 533.60 Mn | 45.71 Mn | 185.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 185.66 Mn |
| Mar 31, 2026 | 156.25 Mn |
| Dec 31, 2025 | 146.68 Mn |
| Sep 30, 2025 | 153.24 Mn |
| Jun 30, 2025 | 173.87 Mn |
| Mar 31, 2025 | 157.14 Mn |
| Dec 31, 2024 | 134.50 Mn |
| Sep 30, 2024 | 141.70 Mn |
| Jun 30, 2024 | 171.94 Mn |
| Mar 31, 2024 | 150.97 Mn |
| Dec 31, 2023 | 153.13 Mn |
| Sep 30, 2023 | 151.46 Mn |
| Jun 30, 2023 | 175.46 Mn |
| Mar 31, 2023 | 146.21 Mn |
| Dec 31, 2022 | 147.45 Mn |
| Sep 30, 2022 | 135.01 Mn |
| Jun 30, 2022 | 140.72 Mn |
| Mar 31, 2022 | 130.04 Mn |
| Dec 31, 2021 | 113.15 Mn |
| Sep 30, 2021 | 95.47 Mn |
Tetra Technologies Revenue 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=revenue&ticker=TTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();