Badger Meter (BMI) Cash & Equivalents (2015 - 2026)
Badger Meter (BMI) posted Cash & Equivalents of $95.73 million for Q2 2026, down 42.1% from $165.21 million a year earlier and down 53.4% from the prior quarter.
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 Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q1 2022.
- On a year-over-year basis, Cash & Equivalents increased in three of the last eight quarters, with growth averaging 2.6%.
- 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 Q2 2026, with a decline of 42.1%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $205.45 million (Q1 2026), $226.02 million (Q4 2025) and $201.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 77.03 Bn | 68.81 Bn | 1.95 Bn | 5.14 Bn |
| 2 | Xylem | 23.64 Bn | 19.13 Bn | 963.00 Mn | 1.28 Bn |
| 3 | Veralto | 23.04 Bn | 15.69 Bn | 902.00 Mn | 2.12 Bn |
| 4 | Badger Meter | 3.58 Bn | 2.86 Bn | 90.77 Mn | 95.73 Mn |
| 5 | Ceco Environmental | 3.02 Bn | 2.85 Bn | 86.47 Mn | 61.10 Mn |
| 6 | NWPX Infrastructure | 993.21 Mn | 954.68 Mn | 34.36 Mn | 19.32 Mn |
| 7 | Energy Recovery | 341.34 Mn | 16.50 Mn | 8.96 Mn | 61.44 Mn |
| 8 | Cadiz | 329.91 Mn | 298.36 Mn | -24,000.00 | 5.32 Mn |
| 9 | AirJoule Technologies | 286.05 Mn | 165.68 Mn | - | 41.42 Mn |
| 10 | LanzaTech Global | 74.74 Mn | -40.40 Mn | 1.91 Mn | 44.98 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 67.04 Mn |
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_KEY
import 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();