TOMI Environmental Solutions (TOMZ) Non-Current Assets (2010 - 2026)
TOMI Environmental Solutions' Non-Current Assets came in at $2.85 million for Q2 2026, down 7.2% from $3.07 million a year earlier and down 0.6% from the prior quarter.
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Analysis
TOMI Environmental Solutions (TOMZ) Non-Current Assets (2010 - 2026) Analysis & Trends
Going back to Q4 2010, TOMI Environmental Solutions' Non-Current Assets data covers 50 quarters.
- Non-Current Assets carries a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $3.2 million in FY2024 (-5.8%), $3.4 million in FY2023 (+0.9%), $3.37 million in FY2022 (-0.4%) and $3.38 million in FY2021 (+10.3%).
- The five-year range for quarterly Non-Current Assets is $2.85 million (Q4 2025) to $3.43 million (Q1 2024).
- Year-over-year, Non-Current Assets has declined for seven consecutive quarters, with an average decline of 7.1% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q4 2021 (growth of 10.3%), and the weakest in Q4 2025 (a decline of 11.0%).
- Business Quant data shows TOMZ's Non-Current Assets at $2.87 million (Q1 2026), $2.85 million (Q4 2025) and $3.01 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 86.73 Bn | 79.74 Bn | 2.07 Bn | 24.01 Bn |
| 2 | Veralto | 28.77 Bn | 21.41 Bn | 908.00 Mn | 4.90 Bn |
| 3 | Xylem | 21.59 Bn | 17.56 Bn | 907.00 Mn | 13.37 Bn |
| 4 | Badger Meter | 4.42 Bn | 3.83 Bn | 98.85 Mn | 575.75 Mn |
| 5 | Ceco Environmental | 3.20 Bn | 2.99 Bn | 130.10 Mn | 36.00 Mn |
| 6 | NWPX Infrastructure | 866.95 Mn | 825.03 Mn | 38.19 Mn | 377.45 Mn |
| 7 | Energy Recovery | 370.21 Mn | 32.65 Mn | 4.20 Mn | 47.75 Mn |
| 8 | Cadiz | 265.95 Mn | 231.07 Mn | -24,000.00 | 123.32 Mn |
| 9 | AirJoule Technologies | 157.70 Mn | 37.32 Mn | - | 263.66 Mn |
| 10 | TOMI Environmental Solutions | 20.52 Mn | 19.34 Mn | 1.39 Mn | 2.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.85 Mn |
| Mar 31, 2026 | 2.87 Mn |
| Dec 31, 2025 | 2.85 Mn |
| Sep 30, 2025 | 3.01 Mn |
| Jun 30, 2025 | 3.07 Mn |
| Mar 31, 2025 | 3.18 Mn |
| Dec 31, 2024 | 3.20 Mn |
| Sep 30, 2024 | 3.32 Mn |
| Jun 30, 2024 | 3.38 Mn |
| Mar 31, 2024 | 3.43 Mn |
| Dec 31, 2023 | 3.40 Mn |
| Sep 30, 2023 | 3.23 Mn |
| Jun 30, 2023 | 3.32 Mn |
| Mar 31, 2023 | 3.33 Mn |
| Dec 31, 2022 | 3.37 Mn |
| Sep 30, 2022 | 3.26 Mn |
| Jun 30, 2022 | 3.31 Mn |
| Mar 31, 2022 | 3.33 Mn |
| Dec 31, 2021 | 3.38 Mn |
| Sep 30, 2021 | 3.23 Mn |
API Access
TOMI Environmental Solutions Non-Current Assets 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=non-current-assets&ticker=TOMZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=TOMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();