Badger Meter (BMI) Total Current Liabilities (2010 - 2026)
Badger Meter's Total Current Liabilities came in at $148.3 million for Q3 2026, down 3.3% from $153.42 million a year earlier and down 13.7% from the prior quarter.
Badger Meter (BMI) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Badger Meter's Total Current Liabilities was $150.72 million, up 27.5% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $118.21 million in FY2024 (-10.4%), $131.95 million in FY2023 (+19.6%), $110.31 million in FY2022 (+34.3%) and $82.15 million in FY2021 (+20.7%).
- The Q3 2026 figure represents the lowest quarterly Total Current Liabilities since Q2 2025.
- Year-over-year, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 10.2%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2022 (growth of 34.6%), and the weakest in Q4 2024 (a decline of 10.4%).
- Business Quant data shows BMI's Total Current Liabilities at $171.87 million (Q2 2026), $169.42 million (Q1 2026) and $150.72 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.71 Bn | 78.69 Bn | 2.07 Bn | 6.38 Bn |
| 2 | Veralto | 28.52 Bn | 21.15 Bn | 908.00 Mn | 1.64 Bn |
| 3 | Xylem | 22.63 Bn | 18.36 Bn | 907.00 Mn | 2.84 Bn |
| 4 | Badger Meter | 4.51 Bn | 3.92 Bn | 98.85 Mn | 148.30 Mn |
| 5 | Ceco Environmental | 2.29 Bn | 2.11 Bn | 86.47 Mn | 652.29 Mn |
| 6 | NWPX Infrastructure | 887.68 Mn | 845.76 Mn | 38.19 Mn | 123.73 Mn |
| 7 | Energy Recovery | 377.64 Mn | 40.09 Mn | 4.20 Mn | 19.89 Mn |
| 8 | Cadiz | 305.87 Mn | 270.99 Mn | -24,000.00 | 9.86 Mn |
| 9 | AirJoule Technologies | 179.92 Mn | 59.54 Mn | - | 2.19 Mn |
| 10 | LanzaTech Global | 53.29 Mn | -44.34 Mn | 1.91 Mn | 27.91 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 148.30 Mn |
| Jun 30, 2026 | 171.87 Mn |
| Mar 31, 2026 | 169.42 Mn |
| Dec 31, 2025 | 150.72 Mn |
| Sep 30, 2025 | 153.42 Mn |
| Jun 30, 2025 | 138.71 Mn |
| Mar 31, 2025 | 141.02 Mn |
| Dec 31, 2024 | 118.21 Mn |
| Sep 30, 2024 | 129.16 Mn |
| Jun 30, 2024 | 138.12 Mn |
| Mar 31, 2024 | 135.09 Mn |
| Dec 31, 2023 | 131.95 Mn |
| Sep 30, 2023 | 128.78 Mn |
| Jun 30, 2023 | 118.91 Mn |
| Mar 31, 2023 | 115.79 Mn |
| Dec 31, 2022 | 110.31 Mn |
| Sep 30, 2022 | 101.79 Mn |
| Jun 30, 2022 | 97.34 Mn |
| Mar 31, 2022 | 88.51 Mn |
| Dec 31, 2021 | 82.15 Mn |
Badger Meter Total 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-current-liabilities&ticker=BMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=BMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();