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 | 86.73 Bn | 79.74 Bn | 2.07 Bn | 12.02% |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn | 18.77% |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn | 9.47% |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn | 20.10% |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn | -0.14% |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn | 12.95% |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn | 0.44% |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 | -21.41% |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - | -4.66% |
| 10 | TOMI Environmental Solutions | 20.52 Mn | 19.34 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();