TOMI Environmental Solutions (TOMZ) Return on Sales [ROS] (2010 - 2026)
TOMI Environmental Solutions (TOMZ) recorded Return on Sales [ROS] of -10.87% in Q2 2026, up 98.99 percentage points from -109.85% a year earlier and up 26.99 percentage points from the prior quarter.
TOMI Environmental Solutions (TOMZ) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, TOMI Environmental Solutions' Return on Sales [ROS] came in at -40.95% as of Jun 30, 2026, up 37.64 percentage points year-over-year; for FY2025, it came in at -68.39%, down 15.35 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three straight years, with a five-year change of -86.40 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -53.04% in FY2024 (-7.50 pp), -45.54% in FY2023 (-10.98 pp), -34.56% in FY2022 (+28.94 pp) and -63.51% in FY2021 (-81.52 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q3 2024.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +2.18 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 132.69 percentage points in Q4 2025, against a drop of 217.90 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -37.86% (Q1 2026), -161.87% (Q4 2025) and -15.98% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 17.16% |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 16.70% |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 21.37% |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 17.71% |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | -11.64% |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 13.26% |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | -49.05% |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | -902.45% |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | - |
| 10 | TOMI Environmental Solutions | 11.24 Mn | 10.06 Mn | 1.39 Mn | -10.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.87% |
| Mar 31, 2026 | -37.86% |
| Dec 31, 2025 | -161.87% |
| Sep 30, 2025 | -15.98% |
| Jun 30, 2025 | -109.85% |
| Mar 31, 2025 | -47.86% |
| Dec 31, 2024 | -294.56% |
| Sep 30, 2024 | 5.86% |
| Jun 30, 2024 | 4.04% |
| Mar 31, 2024 | -110.09% |
| Dec 31, 2023 | -76.66% |
| Sep 30, 2023 | -61.29% |
| Jun 30, 2023 | -3.21% |
| Mar 31, 2023 | -75.10% |
| Dec 31, 2022 | -25.11% |
| Sep 30, 2022 | -37.14% |
| Jun 30, 2022 | -59.16% |
| Mar 31, 2022 | -28.58% |
| Dec 31, 2021 | -86.27% |
| Sep 30, 2021 | -22.07% |
TOMI Environmental Solutions Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=TOMZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=TOMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();