TOMI Environmental Solutions (TOMZ) Cost of Revenue (2010 - 2026)
TOMI Environmental Solutions' Cost of Revenue came in at $861,603 for Q2 2026, up 143.4% from $353,991 a year earlier and up 4.8% from the prior quarter.
TOMI Environmental Solutions (TOMZ) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, TOMI Environmental Solutions reported Cost of Revenue of $3.26 million, down 8.3% year-over-year; for FY2025, it came in at $2.56 million, down 38.8% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -23.8% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $4.18 million in FY2024 (+36.4%), $3.07 million in FY2023 (-6.5%), $3.28 million in FY2022 (+3.5%) and $3.17 million in FY2021 (-68.3%).
- The Q2 2026 figure represents the highest quarterly Cost of Revenue since Q4 2024.
- Year-over-year, Cost of Revenue increased in five of the last eight quarters, with growth averaging 32.1%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q2 2026 (growth of 143.4%), and the weakest in Q2 2025 (a decline of 69.5%).
- Business Quant data shows TOMZ's Cost of Revenue at $822,451 (Q1 2026), $800,459 (Q4 2025) and $779,585 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.74 Bn | 68.51 Bn | 1.95 Bn | 2.47 Bn |
| 2 | Xylem | 23.78 Bn | 19.27 Bn | 963.00 Mn | 1.37 Bn |
| 3 | Veralto | 23.12 Bn | 15.77 Bn | 902.00 Mn | 572.00 Mn |
| 4 | Badger Meter | 3.70 Bn | 2.97 Bn | 90.77 Mn | 131.55 Mn |
| 5 | Ceco Environmental | 3.19 Bn | 3.02 Bn | 86.47 Mn | 198.49 Mn |
| 6 | NWPX Infrastructure | 1.02 Bn | 983.22 Mn | 34.36 Mn | 125.12 Mn |
| 7 | Energy Recovery | 346.45 Mn | 21.62 Mn | 8.96 Mn | 3.04 Mn |
| 8 | Cadiz | 322.34 Mn | 290.78 Mn | -24,000.00 | 1.00 Mn |
| 9 | AirJoule Technologies | 287.52 Mn | 167.15 Mn | - | - |
| 10 | TOMI Environmental Solutions | 11.24 Mn | 10.06 Mn | 1.39 Mn | 861,603.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 861,603.00 |
| Mar 31, 2026 | 822,451.00 |
| Dec 31, 2025 | 800,459.00 |
| Sep 30, 2025 | 779,585.00 |
| Jun 30, 2025 | 353,991.00 |
| Mar 31, 2025 | 624,813.00 |
| Dec 31, 2024 | 1.60 Mn |
| Sep 30, 2024 | 981,124.00 |
| Jun 30, 2024 | 1.16 Mn |
| Mar 31, 2024 | 443,419.00 |
| Dec 31, 2023 | 688,586.00 |
| Sep 30, 2023 | 661,087.00 |
| Jun 30, 2023 | 1.07 Mn |
| Mar 31, 2023 | 640,935.00 |
| Dec 31, 2022 | 1.16 Mn |
| Sep 30, 2022 | 688,633.00 |
| Jun 30, 2022 | 537,103.00 |
| Mar 31, 2022 | 887,889.00 |
| Dec 31, 2021 | 914,758.00 |
| Sep 30, 2021 | 890,273.00 |
TOMI Environmental Solutions Cost of Revenue 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=cost-of-revenue&ticker=TOMZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=TOMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();