Badger Meter (BMI) Non-Current Assets (2010 - 2026)
Badger Meter (BMI) posted Non-Current Assets of $581.96 million for Q2 2026, up 19.2% from $488.15 million a year earlier and up 25.8% 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%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets in data going back to Q4 2010.
- On a year-over-year basis, Non-Current Assets increased in seven of the last eight quarters, with growth averaging 40.1%.
- 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 $462.51 million (Q1 2026), $466.5 million (Q4 2025) and $483.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 18.91 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 12.95 Bn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 4.91 Bn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 581.96 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 35.90 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 333.62 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 48.31 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 123.32 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 263.66 Mn |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | 294.23 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 273.34 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();