Tetra Technologies (TTI) Return on Capital Employed [ROCE] (2010 - 2026)
Tetra Technologies (TTI) recorded Return on Capital Employed [ROCE] of 8.26% in Q2 2026, down 4.00 percentage points from 12.26% a year earlier and down 1.21 percentage points from the prior quarter.
Tetra Technologies (TTI) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Tetra Technologies reported Return on Capital Employed [ROCE] of 11.56%, down 0.36 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +71.57 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at 11.91% in FY2024 (-1.67 pp), 13.59% in FY2023 (+120.07 pp), -106.49% in FY2022 (-66.12 pp) and -40.36% in FY2021 (+19.65 pp).
- The Q2 2026 figure is the lowest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in seven of the last eight quarters, with an average year-over-year change of +46.44 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 82.89 percentage points in Q2 2025, against a drop of 56.07 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.47% (Q1 2026), 10.98% (Q4 2025) and 11.78% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 11.42% |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 9.65% |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | -133.92% |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 13.06% |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 5.00% |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | 5.17% |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | -7.15% |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | 16.47% |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 5.20% |
| 10 | Tetra Technologies | 870.67 Mn | 529.16 Mn | 45.71 Mn | 8.26% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.26% |
| Mar 31, 2026 | 9.47% |
| Dec 31, 2025 | 10.98% |
| Sep 30, 2025 | 11.78% |
| Jun 30, 2025 | 12.26% |
| Mar 31, 2025 | -9.43% |
| Dec 31, 2024 | -35.88% |
| Sep 30, 2024 | -58.76% |
| Jun 30, 2024 | -70.63% |
| Mar 31, 2024 | -78.79% |
| Dec 31, 2023 | -91.21% |
| Sep 30, 2023 | -90.39% |
| Jun 30, 2023 | -95.43% |
| Mar 31, 2023 | -98.71% |
| Dec 31, 2022 | -103.78% |
| Sep 30, 2022 | -99.01% |
| Jun 30, 2022 | -95.47% |
| Mar 31, 2022 | -89.50% |
| Dec 31, 2021 | -87.71% |
| Sep 30, 2021 | -76.38% |
Tetra Technologies Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=TTI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=TTI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();