TOMI Environmental Solutions (TOMZ) Operating Expenses (2010 - 2026)
TOMI Environmental Solutions' Operating Expenses came in at $1.63 million for Q2 2026, down 10.0% from $1.81 million a year earlier but up 11.8% from the prior quarter.
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Analysis
TOMI Environmental Solutions (TOMZ) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, TOMI Environmental Solutions reported Operating Expenses of $6.5 million, down 13.8% year-over-year; for FY2025, it was $6.93 million, down 9.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -8.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $7.66 million in FY2024 (+0.3%), $7.64 million in FY2023 (-3.8%), $7.94 million in FY2022 (-16.5%) and $9.51 million in FY2021 (-9.7%).
- The five-year range for quarterly Operating Expenses is $1.41 million (Q3 2024) to $2.83 million (Q4 2021).
- Year-over-year, Operating Expenses has declined for three consecutive quarters, with an average decline of 4.5% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 30.3%), and the weakest in Q4 2021 (a decline of 44.1%).
- Business Quant data shows TOMZ's Operating Expenses at $1.46 million (Q1 2026), $1.86 million (Q4 2025) and $1.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 1.14 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 573.00 Mn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 587.00 Mn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 51.40 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 109.35 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 13.21 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 14.84 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 9.81 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 5.04 Mn |
| 10 | TOMI Environmental Solutions | 10.34 Mn | 9.16 Mn | 1.39 Mn | 1.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Mn |
| Mar 31, 2026 | 1.46 Mn |
| Dec 31, 2025 | 1.86 Mn |
| Sep 30, 2025 | 1.55 Mn |
| Jun 30, 2025 | 1.81 Mn |
| Mar 31, 2025 | 1.71 Mn |
| Dec 31, 2024 | 2.62 Mn |
| Sep 30, 2024 | 1.41 Mn |
| Jun 30, 2024 | 1.73 Mn |
| Mar 31, 2024 | 1.90 Mn |
| Dec 31, 2023 | 2.01 Mn |
| Sep 30, 2023 | 1.71 Mn |
| Jun 30, 2023 | 1.79 Mn |
| Mar 31, 2023 | 2.13 Mn |
| Dec 31, 2022 | 2.35 Mn |
| Sep 30, 2022 | 1.72 Mn |
| Jun 30, 2022 | 1.78 Mn |
| Mar 31, 2022 | 2.08 Mn |
| Dec 31, 2021 | 2.83 Mn |
| Sep 30, 2021 | 1.80 Mn |
API Access
TOMI Environmental Solutions Operating Expenses 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=operating-expenses&ticker=TOMZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TOMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();