Badger Meter (BMI) Gross Margin (2010 - 2026)
Badger Meter (BMI) posted Gross Margin of 40.83% for Q2 2026, down 0.25 percentage points from 41.08% a year earlier and down 0.86 percentage points from the prior quarter.
Badger Meter (BMI) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Gross Margin at Badger Meter was 41.31%, up 0.13 percentage points year-over-year; for FY2025, it came in at 41.68%, up 1.85 percentage points from FY2024.
- Annual Gross Margin has increased for three consecutive years, with a five-year change of +2.14 percentage points (FY2020 to FY2025).
- In prior years, Badger Meter's Gross Margin was 39.83% in FY2024 (+0.54 pp), 39.29% in FY2023 (+0.40 pp), 38.89% in FY2022 (-1.78 pp) and 40.67% in FY2021 (+1.14 pp).
- Quarterly Gross Margin has run from a low of 38.31% in Q1 2022 to a high of 42.95% in Q1 2025 over five years.
- On a year-over-year basis, Gross Margin increased in six of the last eight quarters, with an average year-over-year change of +1.05 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q1 2025, with a gain of 3.63 percentage points; the weakest was Q1 2022, with a drop of 3.58 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 41.69% (Q1 2026), 42.13% (Q4 2025) and 40.67% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn | 44.07% |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn | 41.22% |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn | 61.19% |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn | 40.83% |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn | 30.34% |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn | 21.54% |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn | 74.67% |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 | -2.45% |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - | - |
| 10 | LanzaTech Global | 77.75 Mn | -37.39 Mn | 1.91 Mn | 21.20% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.83% |
| Mar 31, 2026 | 41.69% |
| Dec 31, 2025 | 42.13% |
| Sep 30, 2025 | 40.67% |
| Jun 30, 2025 | 41.08% |
| Mar 31, 2025 | 42.95% |
| Dec 31, 2024 | 40.33% |
| Sep 30, 2024 | 40.24% |
| Jun 30, 2024 | 39.40% |
| Mar 31, 2024 | 39.32% |
| Dec 31, 2023 | 39.17% |
| Sep 30, 2023 | 39.06% |
| Jun 30, 2023 | 39.48% |
| Mar 31, 2023 | 39.48% |
| Dec 31, 2022 | 38.67% |
| Sep 30, 2022 | 38.86% |
| Jun 30, 2022 | 39.73% |
| Mar 31, 2022 | 38.31% |
| Dec 31, 2021 | 40.39% |
| Sep 30, 2021 | 39.76% |
Badger Meter Gross 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=gross-margin&ticker=BMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=BMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();