Badger Meter (BMI) EBITDA (2010 - 2026)
Badger Meter (BMI) recorded EBITDA of $49.23 million in Q2 2026, down 8.2% from $53.66 million a year earlier but up 11.3% from the prior quarter.
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Analysis
Badger Meter (BMI) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Badger Meter's EBITDA came in at $200.1 million as of Jun 30, 2026, down 3.5% year-over-year; for FY2025, it was $218.01 million, up 14.7% from FY2024.
- Annual EBITDA has increased for 12 straight years, with a five-year compound annual growth rate of 19.3% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $190.12 million in FY2024 (+30.1%), $146.16 million in FY2023 (+28.7%), $113.54 million in FY2022 (+6.5%) and $106.59 million in FY2021 (+17.9%).
- Quarterly EBITDA has ranged from $25.64 million in Q1 2022 to $57.71 million in Q1 2025 over the past five years.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 9.4%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 39.4% in Q1 2024, against a decline of 23.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $44.23 million (Q1 2026), $51.85 million (Q4 2025) and $54.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn | 1.03 Bn |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 530.00 Mn |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn | 344.00 Mn |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn | 49.23 Mn |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn | -21.16 Mn |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn | 26.77 Mn |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn | -4.88 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | - |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - | -4.11 Mn |
| 10 | LanzaTech Global | 77.75 Mn | -37.39 Mn | 1.91 Mn | -8.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.23 Mn |
| Mar 31, 2026 | 44.23 Mn |
| Dec 31, 2025 | 51.85 Mn |
| Sep 30, 2025 | 54.79 Mn |
| Jun 30, 2025 | 53.66 Mn |
| Mar 31, 2025 | 57.71 Mn |
| Dec 31, 2024 | 47.29 Mn |
| Sep 30, 2024 | 48.64 Mn |
| Jun 30, 2024 | 49.60 Mn |
| Mar 31, 2024 | 44.59 Mn |
| Dec 31, 2023 | 39.27 Mn |
| Sep 30, 2023 | 38.49 Mn |
| Jun 30, 2023 | 36.41 Mn |
| Mar 31, 2023 | 31.99 Mn |
| Dec 31, 2022 | 28.55 Mn |
| Sep 30, 2022 | 30.58 Mn |
| Jun 30, 2022 | 28.77 Mn |
| Mar 31, 2022 | 25.64 Mn |
| Dec 31, 2021 | 29.75 Mn |
| Sep 30, 2021 | 26.47 Mn |
API Access
Badger Meter EBITDA 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=ebitda&ticker=BMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();