TOMI Environmental Solutions (TOMZ) Return on Capital Employed [ROCE] (2012 - 2026)
TOMI Environmental Solutions (TOMZ) reported Return on Capital Employed [ROCE] of -67.39% for Q2 2026, up 6.39 percentage points from -73.78% a year earlier and up 54.77 percentage points from the prior quarter.
TOMI Environmental Solutions (TOMZ) Return on Capital Employed [ROCE] (2012 - 2026) Analysis & Trends
For FY2025, TOMI Environmental Solutions posted Return on Capital Employed [ROCE] of -74.10%, down 27.49 percentage points from FY2024.
- Return on Capital Employed [ROCE] has declined for three consecutive years, with a five-year change of -117.90 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -46.62% in FY2024 (-19.55 pp), -27.07% in FY2023 (-4.19 pp), -22.88% in FY2022 (+10.61 pp) and -33.49% in FY2021 (-77.29 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Year over year, Return on Capital Employed [ROCE] gained in two of the last eight quarters, with an average year-over-year change of -31.16 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2022 (a gain of 11.79 percentage points); the low point was Q3 2021 (a drop of 90.36 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -122.17% (Q1 2026), -88.06% (Q4 2025) and -93.61% (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 | TOMI Environmental Solutions | 11.24 Mn | 10.06 Mn | 1.39 Mn | -67.39% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -67.39% |
| Mar 31, 2026 | -122.17% |
| Dec 31, 2025 | -88.06% |
| Sep 30, 2025 | -93.61% |
| Jun 30, 2025 | -73.78% |
| Mar 31, 2025 | -53.32% |
| Dec 31, 2024 | -49.12% |
| Sep 30, 2024 | -20.61% |
| Jun 30, 2024 | -32.16% |
| Mar 31, 2024 | -31.66% |
| Dec 31, 2023 | -31.26% |
| Sep 30, 2023 | -26.87% |
| Jun 30, 2023 | -23.38% |
| Mar 31, 2023 | -28.22% |
| Dec 31, 2022 | -23.47% |
| Sep 30, 2022 | -31.05% |
| Jun 30, 2022 | -26.74% |
| Mar 31, 2022 | -29.81% |
| Dec 31, 2021 | -32.07% |
| Sep 30, 2021 | -42.84% |
TOMI Environmental Solutions 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=TOMZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "TOMZ", "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=TOMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();