TOMI Environmental Solutions (TOMZ) Inventory (2011 - 2026)
TOMI Environmental Solutions (TOMZ) posted Inventory of $2.81 million for Q2 2026, down 13.9% from $3.27 million a year earlier and down 3.6% from the prior quarter.
TOMI Environmental Solutions (TOMZ) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2025, TOMI Environmental Solutions' Inventory came in at $2.93 million, down 18.2% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- In prior years, TOMI Environmental Solutions' Inventory was $3.58 million in FY2024 (-22.7%), $4.63 million in FY2023 (+2.9%), $4.5 million in FY2022 (-5.2%) and $4.74 million in FY2021 (+25.4%).
- The Q2 2026 figure stands as the lowest quarterly Inventory since Q2 2020.
- On a year-over-year basis, Inventory has declined in each of the last seven quarters, with an average decline of 18.0% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q4 2021, with growth of 25.4%; the weakest was Q1 2025, with a decline of 26.7%.
- According to Business Quant data, Inventory for the three prior quarters was $2.92 million (Q1 2026), $2.93 million (Q4 2025) and $3.36 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 86.73 Bn | 79.74 Bn | 2.07 Bn | 1.76 Bn |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn | 340.00 Mn |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn | 1.05 Bn |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn | 166.43 Mn |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn | 182.89 Mn |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn | 89.32 Mn |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn | 44.05 Mn |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 | 1.97 Mn |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - | - |
| 10 | TOMI Environmental Solutions | 20.52 Mn | 19.34 Mn | 1.39 Mn | 2.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.81 Mn |
| Mar 31, 2026 | 2.92 Mn |
| Dec 31, 2025 | 2.93 Mn |
| Sep 30, 2025 | 3.36 Mn |
| Jun 30, 2025 | 3.27 Mn |
| Mar 31, 2025 | 3.41 Mn |
| Dec 31, 2024 | 3.58 Mn |
| Sep 30, 2024 | 4.58 Mn |
| Jun 30, 2024 | 4.28 Mn |
| Mar 31, 2024 | 4.65 Mn |
| Dec 31, 2023 | 4.63 Mn |
| Sep 30, 2023 | 4.48 Mn |
| Jun 30, 2023 | 4.41 Mn |
| Mar 31, 2023 | 4.35 Mn |
| Dec 31, 2022 | 4.50 Mn |
| Sep 30, 2022 | 4.71 Mn |
| Jun 30, 2022 | 4.78 Mn |
| Mar 31, 2022 | 5.10 Mn |
| Dec 31, 2021 | 4.74 Mn |
| Sep 30, 2021 | 4.79 Mn |
TOMI Environmental Solutions Inventory 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=inventory&ticker=TOMZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TOMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();