Badger Meter (BMI) Cash & Equivalents (2015 - 2026)
Badger Meter (BMI) posted Cash & Equivalents of $67.93 million for Q3 2026, down 66.3% from $201.69 million a year earlier and down 29.0% from the prior quarter.
Powered by 
Analysis
Badger Meter (BMI) Cash & Equivalents (2015 - 2026) Analysis & Trends
At the end of FY2025, Badger Meter's Cash & Equivalents came in at $226.02 million, down 23.5% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 25.6% (FY2020 to FY2025).
- In prior years, Badger Meter's Cash & Equivalents was $295.31 million in FY2024 (+54.0%), $191.78 million in FY2023 (+38.9%), $138.05 million in FY2022 (+58.4%) and $87.17 million in FY2021 (+20.6%).
- The Q3 2026 figure stands as the lowest quarterly Cash & Equivalents since Q3 2021.
- On a year-over-year basis, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 13.1%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2022, with growth of 74.7%; the weakest was Q3 2026, with a decline of 66.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $95.73 million (Q2 2026), $205.45 million (Q1 2026) and $226.02 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.97 Bn | 78.95 Bn | 2.07 Bn | 722.30 Mn |
| 2 | Veralto | 28.80 Bn | 21.43 Bn | 908.00 Mn | 1.79 Bn |
| 3 | Xylem | 23.13 Bn | 18.86 Bn | 907.00 Mn | 708.00 Mn |
| 4 | Badger Meter | 4.57 Bn | 3.97 Bn | 98.85 Mn | 67.93 Mn |
| 5 | Ceco Environmental | 2.30 Bn | 2.12 Bn | 86.47 Mn | 61.10 Mn |
| 6 | NWPX Infrastructure | 882.96 Mn | 841.04 Mn | 38.19 Mn | 6.06 Mn |
| 7 | Energy Recovery | 374.69 Mn | 37.14 Mn | 4.20 Mn | 42.48 Mn |
| 8 | Cadiz | 320.18 Mn | 285.30 Mn | -24,000.00 | 5.32 Mn |
| 9 | AirJoule Technologies | 179.57 Mn | 59.19 Mn | - | 41.42 Mn |
| 10 | LanzaTech Global | 58.06 Mn | -39.57 Mn | 1.91 Mn | 44.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 67.93 Mn |
| Jun 30, 2026 | 95.73 Mn |
| Mar 31, 2026 | 205.45 Mn |
| Dec 31, 2025 | 226.02 Mn |
| Sep 30, 2025 | 201.69 Mn |
| Jun 30, 2025 | 165.21 Mn |
| Mar 31, 2025 | 131.36 Mn |
| Dec 31, 2024 | 295.31 Mn |
| Sep 30, 2024 | 258.96 Mn |
| Jun 30, 2024 | 226.21 Mn |
| Mar 31, 2024 | 199.31 Mn |
| Dec 31, 2023 | 191.78 Mn |
| Sep 30, 2023 | 162.91 Mn |
| Jun 30, 2023 | 141.81 Mn |
| Mar 31, 2023 | 128.36 Mn |
| Dec 31, 2022 | 138.05 Mn |
| Sep 30, 2022 | 114.79 Mn |
| Jun 30, 2022 | 100.21 Mn |
| Mar 31, 2022 | 89.22 Mn |
| Dec 31, 2021 | 87.17 Mn |
API Access
Badger Meter Cash & Equivalents 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=cash-and-equivalents&ticker=BMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();