Badger Meter (BMI) Non-Current Assets (2010 - 2026)
Badger Meter (BMI) posted Non-Current Assets of $575.75 million for Q3 2026, up 19.0% from $483.68 million a year earlier but down 1.1% from the prior quarter.
Badger Meter (BMI) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Badger Meter's Non-Current Assets came in at $466.5 million, up 68.8% from FY2024.
- Annual Non-Current Assets has increased for three consecutive years, with a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- In prior years, Badger Meter's Non-Current Assets was $276.3 million in FY2024 (+0.6%), $274.74 million in FY2023 (+7.7%), $255.22 million in FY2022 (-5.3%) and $269.46 million in FY2021 (+8.9%).
- Quarterly Non-Current Assets has run from a low of $248.75 million in Q3 2022 to a high of $581.96 million in Q2 2026 over five years.
- On a year-over-year basis, Non-Current Assets increased in seven of the last eight quarters, with growth averaging 42.2%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2025, with growth of 79.4%; the weakest was Q3 2022, with a decline of 9.0%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $581.96 million (Q2 2026), $462.51 million (Q1 2026) and $466.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.71 Bn | 78.69 Bn | 2.07 Bn | 24.01 Bn |
| 2 | Veralto | 28.52 Bn | 21.15 Bn | 908.00 Mn | 4.90 Bn |
| 3 | Xylem | 22.63 Bn | 18.36 Bn | 907.00 Mn | 13.37 Bn |
| 4 | Badger Meter | 4.51 Bn | 3.92 Bn | 98.85 Mn | 575.75 Mn |
| 5 | Ceco Environmental | 2.29 Bn | 2.11 Bn | 86.47 Mn | 35.90 Mn |
| 6 | NWPX Infrastructure | 887.68 Mn | 845.76 Mn | 38.19 Mn | 377.45 Mn |
| 7 | Energy Recovery | 377.64 Mn | 40.09 Mn | 4.20 Mn | 47.75 Mn |
| 8 | Cadiz | 305.87 Mn | 270.99 Mn | -24,000.00 | 123.32 Mn |
| 9 | AirJoule Technologies | 179.92 Mn | 59.54 Mn | - | 263.66 Mn |
| 10 | LanzaTech Global | 53.29 Mn | -44.34 Mn | 1.91 Mn | 253.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 575.75 Mn |
| Jun 30, 2026 | 581.96 Mn |
| Mar 31, 2026 | 462.51 Mn |
| Dec 31, 2025 | 466.50 Mn |
| Sep 30, 2025 | 483.68 Mn |
| Jun 30, 2025 | 488.15 Mn |
| Mar 31, 2025 | 488.02 Mn |
| Dec 31, 2024 | 276.30 Mn |
| Sep 30, 2024 | 273.57 Mn |
| Jun 30, 2024 | 272.04 Mn |
| Mar 31, 2024 | 272.88 Mn |
| Dec 31, 2023 | 274.74 Mn |
| Sep 30, 2023 | 266.81 Mn |
| Jun 30, 2023 | 270.67 Mn |
| Mar 31, 2023 | 272.56 Mn |
| Dec 31, 2022 | 255.22 Mn |
| Sep 30, 2022 | 248.75 Mn |
| Jun 30, 2022 | 256.11 Mn |
| Mar 31, 2022 | 264.66 Mn |
| Dec 31, 2021 | 269.46 Mn |
Badger Meter 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=BMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "BMI", "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=BMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();