Badger Meter (BMI) Operating Margin (2010 - 2026)
Badger Meter (BMI) recorded Operating Margin of 17.71% in Q2 2026, down 1.13 percentage points from 18.84% a year earlier but up 0.32 percentage points from the prior quarter.
Badger Meter (BMI) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Badger Meter's Operating Margin came in at 18.58% as of Jun 30, 2026, down 1.35 percentage points year-over-year; for FY2025, it came in at 20.01%, up 0.90 percentage points from FY2024.
- Annual Operating Margin has increased for three straight years, with a five-year change of +4.70 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at 19.11% in FY2024 (+2.33 pp), 16.78% in FY2023 (+1.34 pp), 15.43% in FY2022 (-0.15 pp) and 15.58% in FY2021 (+0.27 pp).
- Quarterly Operating Margin has ranged from 14.25% in Q1 2022 to 22.24% in Q1 2025 over the past five years.
- On a year-over-year basis, Operating Margin rose in five of the last eight quarters, with an average year-over-year change of +0.24 percentage points.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 3.61 percentage points in Q1 2025, against a drop of 4.85 percentage points in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 17.39% (Q1 2026), 19.51% (Q4 2025) and 19.56% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn | 17.16% |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 16.70% |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn | 21.37% |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn | 17.71% |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn | -11.64% |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn | 13.26% |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn | -49.05% |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | -902.45% |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - | - |
| 10 | LanzaTech Global | 77.75 Mn | -37.39 Mn | 1.91 Mn | -109.53% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.71% |
| Mar 31, 2026 | 17.39% |
| Dec 31, 2025 | 19.51% |
| Sep 30, 2025 | 19.56% |
| Jun 30, 2025 | 18.84% |
| Mar 31, 2025 | 22.24% |
| Dec 31, 2024 | 19.12% |
| Sep 30, 2024 | 19.49% |
| Jun 30, 2024 | 19.16% |
| Mar 31, 2024 | 18.64% |
| Dec 31, 2023 | 17.58% |
| Sep 30, 2023 | 16.88% |
| Jun 30, 2023 | 16.78% |
| Mar 31, 2023 | 15.74% |
| Dec 31, 2022 | 15.25% |
| Sep 30, 2022 | 16.13% |
| Jun 30, 2022 | 16.03% |
| Mar 31, 2022 | 14.25% |
| Dec 31, 2021 | 16.84% |
| Sep 30, 2021 | 15.10% |
Badger Meter Operating Margin 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=operating-margin&ticker=BMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=BMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();