TOMI Environmental Solutions (TOMZ) Depreciation and Depletion (2011 - 2026)
TOMI Environmental Solutions (TOMZ) reported Depreciation and Depletion of $42,039 for Q2 2026, down 32.2% from $62,022 a year earlier and down 6.2% from the prior quarter.
TOMI Environmental Solutions (TOMZ) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, TOMI Environmental Solutions' Depreciation and Depletion came in at $204,607, down 17.9% year-over-year; for FY2025, it came in at $241,506, down 10.6% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of -6.8% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $270,228 in FY2024 (-21.8%), $345,556 in FY2023 (+9.8%), $314,669 in FY2022 (+5.0%) and $299,665 in FY2021 (-12.5%).
- The Q2 2026 figure ranks as the lowest quarterly Depreciation and Depletion since Q1 2016.
- Year over year, Depreciation and Depletion has now declined in each of the last ten quarters, with an average decline of 19.6% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q3 2022 (growth of 17.2%); the low point was Q2 2026 (a decline of 32.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $44,827 (Q1 2026), $56,919 (Q4 2025) and $60,822 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 76.01 Bn | 67.78 Bn | 1.95 Bn | 183.80 Mn |
| 2 | Xylem | 23.56 Bn | 19.05 Bn | 963.00 Mn | 65.00 Mn |
| 3 | Veralto | 23.10 Bn | 15.75 Bn | 902.00 Mn | 12.00 Mn |
| 4 | Badger Meter | 3.72 Bn | 2.99 Bn | 90.77 Mn | 2.84 Mn |
| 5 | Ceco Environmental | 3.11 Bn | 2.95 Bn | 86.47 Mn | - |
| 6 | NWPX Infrastructure | 1.01 Bn | 971.46 Mn | 34.36 Mn | - |
| 7 | Energy Recovery | 342.87 Mn | 18.03 Mn | 8.96 Mn | - |
| 8 | Cadiz | 311.40 Mn | 279.84 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 290.46 Mn | 170.08 Mn | - | - |
| 10 | TOMI Environmental Solutions | 11.07 Mn | 9.89 Mn | 1.39 Mn | 42,039.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42,039.00 |
| Mar 31, 2026 | 44,827.00 |
| Dec 31, 2025 | 56,919.00 |
| Sep 30, 2025 | 60,822.00 |
| Jun 30, 2025 | 62,022.00 |
| Mar 31, 2025 | 61,744.00 |
| Dec 31, 2024 | 60,477.00 |
| Sep 30, 2024 | 65,031.00 |
| Jun 30, 2024 | 71,677.00 |
| Mar 31, 2024 | 73,043.00 |
| Dec 31, 2023 | 83,611.00 |
| Sep 30, 2023 | 90,156.00 |
| Jun 30, 2023 | 86,786.00 |
| Mar 31, 2023 | 85,003.00 |
| Dec 31, 2022 | 77,505.00 |
| Sep 30, 2022 | 78,991.00 |
| Jun 30, 2022 | 79,123.00 |
| Mar 31, 2022 | 79,050.00 |
| Dec 31, 2021 | 81,267.00 |
| Sep 30, 2021 | 67,383.00 |
TOMI Environmental Solutions Depreciation and Depletion 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=depreciation-and-depletion&ticker=TOMZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TOMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();