Badger Meter (BMI) Total Non-Current Liabilities (2010 - 2026)
Badger Meter's Total Non-Current Liabilities was $143.42 million in Q2 2026, down 42.4% from $249.11 million a year earlier but up 29.3% from the prior quarter.
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Analysis
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 $262.93 million (Q3 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in six of the last eight quarters, with growth averaging 8.2%.
- 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 Q2 2026 was $110.96 million (Q1 2026), $109.57 million (Q4 2025) and $262.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn | 19.38 Bn |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 6.11 Bn |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn | 4.74 Bn |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn | 143.42 Mn |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn | 1.63 Bn |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn | 222.57 Mn |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn | 24.14 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | 100.65 Mn |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - | 4.27 Mn |
| 10 | LanzaTech Global | 77.75 Mn | -37.39 Mn | 1.91 Mn | 260.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.42 Mn |
| Mar 31, 2026 | 110.96 Mn |
| Dec 31, 2025 | 109.57 Mn |
| Sep 30, 2025 | 262.93 Mn |
| Jun 30, 2025 | 249.11 Mn |
| Mar 31, 2025 | 247.22 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 |
| Sep 30, 2021 | 96.46 Mn |
API Access
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_KEYimport 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();