AirJoule Technologies (AIRJ) Return on Capital Employed [ROCE] (2022 - 2026)
AirJoule Technologies (AIRJ) posted Return on Capital Employed [ROCE] of -15.30% for Q2 2026, down 11.90 percentage points from -3.40% a year earlier and down 0.84 percentage points from the prior quarter.
AirJoule Technologies (AIRJ) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, AirJoule Technologies' Return on Capital Employed [ROCE] came in at -5.13%, up 31.25 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a three-year change of -4.67 percentage points (FY2022 to FY2025).
- In prior years, AirJoule Technologies' Return on Capital Employed [ROCE] was -36.38% in FY2024 (-28.35 pp), -8.03% in FY2023 (-7.57 pp) and -0.46% in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in five of the last eight quarters, with an average year-over-year change of +5.19 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2025, with a gain of 34.92 percentage points; the weakest was Q1 2024, with a drop of 37.81 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -14.47% (Q1 2026), -12.83% (Q4 2025) and -3.54% (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 | LanzaTech Global | 79.06 Mn | -36.08 Mn | 1.91 Mn | -31.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -15.30% |
| Mar 31, 2026 | -14.47% |
| Dec 31, 2025 | -12.83% |
| Sep 30, 2025 | -3.54% |
| Jun 30, 2025 | -3.40% |
| Mar 31, 2025 | -3.47% |
| Dec 31, 2024 | -17.91% |
| Sep 30, 2024 | -17.75% |
| Jun 30, 2024 | -18.36% |
| Mar 31, 2024 | -38.39% |
| Dec 31, 2023 | -22.53% |
| Sep 30, 2023 | -8.38% |
| Jun 30, 2023 | -2.24% |
| Mar 31, 2023 | -0.59% |
| Dec 31, 2022 | -0.46% |
AirJoule 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=AIRJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "AIRJ", "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=AIRJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();