Badger Meter (BMI) Total Non-Current Liabilities (2010 - 2026)
Badger Meter's Total Non-Current Liabilities was $144.22 million in Q3 2026, down 43.8% from $256.51 million a year earlier but up 0.6% from the prior quarter.
Badger Meter (BMI) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Badger Meter came in at $109.57 million, up 19.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $91.98 million in FY2024 (+34.3%), $68.49 million in FY2023 (-55.8%), $155.06 million in FY2022 (+58.3%) and $97.94 million in FY2021 (+17.2%).
- Quarterly Total Non-Current Liabilities has moved between $68.49 million (Q4 2023) and $256.51 million (Q3 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for three straight quarters, with an average decline of 3.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2022 (growth of 58.3%); the worst was Q4 2023 (a decline of 55.8%).
- Per Business Quant data, BMI's Total Non-Current Liabilities in the three quarters before Q3 2026 was $143.42 million (Q2 2026), $110.96 million (Q1 2026) and $109.57 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.71 Bn | 78.69 Bn | 2.07 Bn | 20.17 Bn |
| 2 | Veralto | 28.52 Bn | 21.15 Bn | 908.00 Mn | 4.31 Bn |
| 3 | Xylem | 22.63 Bn | 18.36 Bn | 907.00 Mn | 6.19 Bn |
| 4 | Badger Meter | 4.51 Bn | 3.92 Bn | 98.85 Mn | 144.22 Mn |
| 5 | Ceco Environmental | 2.29 Bn | 2.11 Bn | 86.47 Mn | 1.63 Bn |
| 6 | NWPX Infrastructure | 887.68 Mn | 845.76 Mn | 38.19 Mn | 247.11 Mn |
| 7 | Energy Recovery | 377.64 Mn | 40.09 Mn | 4.20 Mn | 25.47 Mn |
| 8 | Cadiz | 305.87 Mn | 270.99 Mn | -24,000.00 | 95.90 Mn |
| 9 | AirJoule Technologies | 179.92 Mn | 59.54 Mn | - | 4.27 Mn |
| 10 | LanzaTech Global | 53.29 Mn | -44.34 Mn | 1.91 Mn | 62.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 144.22 Mn |
| Jun 30, 2026 | 143.42 Mn |
| Mar 31, 2026 | 110.96 Mn |
| Dec 31, 2025 | 109.57 Mn |
| Sep 30, 2025 | 256.51 Mn |
| Jun 30, 2025 | 242.27 Mn |
| Mar 31, 2025 | 240.26 Mn |
| Dec 31, 2024 | 91.98 Mn |
| Sep 30, 2024 | 205.66 Mn |
| Jun 30, 2024 | 212.22 Mn |
| Mar 31, 2024 | 203.40 Mn |
| Dec 31, 2023 | 68.49 Mn |
| Sep 30, 2023 | 143.92 Mn |
| Jun 30, 2023 | 134.23 Mn |
| Mar 31, 2023 | 130.68 Mn |
| Dec 31, 2022 | 155.06 Mn |
| Sep 30, 2022 | 114.97 Mn |
| Jun 30, 2022 | 111.50 Mn |
| Mar 31, 2022 | 103.02 Mn |
| Dec 31, 2021 | 97.94 Mn |
Badger Meter Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=BMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=BMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();