Tetra Technologies (TTI) Operating Leases (2019 - 2026)
Tetra Technologies (TTI) reported Operating Leases of $28.64 million for Q2 2026, up 11.5% from $25.69 million a year earlier but down 6.5% from the prior quarter.
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Analysis
Tetra Technologies (TTI) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Tetra Technologies posted Operating Leases of $32.66 million, up 30.4% from FY2024.
- Operating Leases has a five-year compound annual growth rate of -2.8% (FY2020 to FY2025).
- By year, Operating Leases came in at $25.04 million in FY2024 (-9.1%), $27.54 million in FY2023 (-2.0%), $28.11 million in FY2022 (-10.6%) and $31.43 million in FY2021 (-16.3%).
- Five-year quarterly Operating Leases spans a low of $23.07 million in Q3 2025 and a high of $33.15 million in Q3 2021.
- Year over year, Operating Leases has now increased in each of the last three quarters, with growth averaging 3.6% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was Q4 2025 (growth of 30.4%); the low point was Q3 2021 (a decline of 48.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $30.64 million (Q1 2026), $32.66 million (Q4 2025) and $23.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Slb | 76.39 Bn | 73.50 Bn | 1.40 Bn |
| 2 | Baker Hughes | 56.70 Bn | 19.98 Bn | 1.58 Bn |
| 3 | TechnipFMC | 27.74 Bn | 23.88 Bn | 684.70 Mn |
| 4 | Halliburton | 27.03 Bn | 18.79 Bn | 804.00 Mn |
| 5 | Nov | 6.97 Bn | 1.76 Bn | 521.00 Mn |
| 6 | Noble | 6.81 Bn | 4.74 Bn | 239.27 Mn |
| 7 | Weatherford International | 5.95 Bn | 1.88 Bn | 333.00 Mn |
| 8 | Transocean | 5.90 Bn | 3.61 Bn | 358.00 Mn |
| 9 | Valaris | 5.52 Bn | 3.13 Bn | 123.70 Mn |
| 10 | Tetra Technologies | 875.11 Mn | 533.60 Mn | 45.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.64 Mn |
| Mar 31, 2026 | 30.64 Mn |
| Dec 31, 2025 | 32.66 Mn |
| Sep 30, 2025 | 23.07 Mn |
| Jun 30, 2025 | 25.69 Mn |
| Mar 31, 2025 | 25.29 Mn |
| Dec 31, 2024 | 25.04 Mn |
| Sep 30, 2024 | 25.86 Mn |
| Jun 30, 2024 | 25.96 Mn |
| Mar 31, 2024 | 26.74 Mn |
| Dec 31, 2023 | 27.54 Mn |
| Sep 30, 2023 | 28.01 Mn |
| Jun 30, 2023 | 31.14 Mn |
| Mar 31, 2023 | 27.72 Mn |
| Dec 31, 2022 | 28.11 Mn |
| Sep 30, 2022 | 27.72 Mn |
| Jun 30, 2022 | 29.16 Mn |
| Mar 31, 2022 | 31.27 Mn |
| Dec 31, 2021 | 31.43 Mn |
| Sep 30, 2021 | 33.15 Mn |
API Access
Tetra Technologies Operating Leases 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=operating-leases&ticker=TTI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();