ClearSign Technologies (CLIR) Return on Capital Employed [ROCE] (2012 - 2026)
ClearSign Technologies (CLIR) recorded Return on Capital Employed [ROCE] of -73.24% in Q2 2026, down 5.89 percentage points from -67.36% a year earlier but up 2.48 percentage points from the prior quarter.
ClearSign Technologies (CLIR) Return on Capital Employed [ROCE] (2012 - 2026) Analysis & Trends
For FY2025, ClearSign Technologies reported Return on Capital Employed [ROCE] of -57.27%, up 10.70 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +12.39 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -67.97% in FY2024 (+17.27 pp), -85.24% in FY2023 (-17.25 pp), -67.99% in FY2022 (+17.65 pp) and -85.64% in FY2021 (-15.98 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -108.03% in Q1 2024 to -38.99% in Q3 2024 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined for five consecutive quarters, with an average year-over-year change of +8.15 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 53.73 percentage points in Q3 2024, against a drop of 39.35 percentage points in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -75.73% (Q1 2026), -67.52% (Q4 2025) and -75.78% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 13.27% |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 9.16% |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 21.41% |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 20.14% |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | -0.31% |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 12.53% |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 7.70% |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | -21.02% |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | -15.30% |
| 10 | ClearSign Technologies | 21.51 Mn | -15.78 Mn | 228,000.00 | -73.24% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -73.24% |
| Mar 31, 2026 | -75.73% |
| Dec 31, 2025 | -67.52% |
| Sep 30, 2025 | -75.78% |
| Jun 30, 2025 | -67.36% |
| Mar 31, 2025 | -57.58% |
| Dec 31, 2024 | -45.43% |
| Sep 30, 2024 | -38.99% |
| Jun 30, 2024 | -57.89% |
| Mar 31, 2024 | -108.03% |
| Dec 31, 2023 | -98.81% |
| Sep 30, 2023 | -92.73% |
| Jun 30, 2023 | -86.63% |
| Mar 31, 2023 | -68.68% |
| Dec 31, 2022 | -59.70% |
| Sep 30, 2022 | -54.04% |
| Jun 30, 2022 | -74.53% |
| Mar 31, 2022 | -92.98% |
| Dec 31, 2021 | -86.62% |
| Sep 30, 2021 | -79.71% |
ClearSign 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=CLIR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "CLIR", "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=CLIR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();