Badger Meter (BMI) Cost of Revenue (2010 - 2026)
Badger Meter (BMI) recorded Cost of Revenue of $137.09 million in Q3 2026, down 1.9% from $139.82 million a year earlier but up 4.2% from the prior quarter.
Badger Meter (BMI) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Badger Meter's Cost of Revenue came in at $514.31 million as of Sep 30, 2026, down 2.8% year-over-year; for FY2025, it was $534.59 million, up 7.5% from FY2024.
- Annual Cost of Revenue has increased for five straight years, with a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $497.37 million in FY2024 (+16.4%), $427.15 million in FY2023 (+23.6%), $345.6 million in FY2022 (+15.3%) and $299.71 million in FY2021 (+16.5%).
- Quarterly Cost of Revenue has ranged from $80.91 million in Q4 2021 to $140.29 million in Q2 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue has declined for three consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 28.1% in Q2 2023, against a decline of 7.0% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $131.55 million (Q2 2026), $117.95 million (Q1 2026) and $127.72 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.97 Bn | 78.95 Bn | 2.07 Bn | 2.63 Bn |
| 2 | Veralto | 28.80 Bn | 21.43 Bn | 908.00 Mn | 601.00 Mn |
| 3 | Xylem | 23.13 Bn | 18.86 Bn | 907.00 Mn | 1.29 Bn |
| 4 | Badger Meter | 4.57 Bn | 3.97 Bn | 98.85 Mn | 137.09 Mn |
| 5 | Ceco Environmental | 2.30 Bn | 2.12 Bn | 86.47 Mn | 198.49 Mn |
| 6 | NWPX Infrastructure | 882.96 Mn | 841.04 Mn | 38.19 Mn | 141.20 Mn |
| 7 | Energy Recovery | 374.69 Mn | 37.14 Mn | 4.20 Mn | 7.00 Mn |
| 8 | Cadiz | 320.18 Mn | 285.30 Mn | -24,000.00 | 1.00 Mn |
| 9 | AirJoule Technologies | 179.57 Mn | 59.19 Mn | - | - |
| 10 | LanzaTech Global | 58.06 Mn | -39.57 Mn | 1.91 Mn | 7.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 137.09 Mn |
| Jun 30, 2026 | 131.55 Mn |
| Mar 31, 2026 | 117.95 Mn |
| Dec 31, 2025 | 127.72 Mn |
| Sep 30, 2025 | 139.82 Mn |
| Jun 30, 2025 | 140.29 Mn |
| Mar 31, 2025 | 126.77 Mn |
| Dec 31, 2024 | 122.42 Mn |
| Sep 30, 2024 | 124.56 Mn |
| Jun 30, 2024 | 131.29 Mn |
| Mar 31, 2024 | 119.10 Mn |
| Dec 31, 2023 | 110.98 Mn |
| Sep 30, 2023 | 113.47 Mn |
| Jun 30, 2023 | 106.42 Mn |
| Mar 31, 2023 | 96.29 Mn |
| Dec 31, 2022 | 90.36 Mn |
| Sep 30, 2022 | 90.49 Mn |
| Jun 30, 2022 | 83.07 Mn |
| Mar 31, 2022 | 81.68 Mn |
| Dec 31, 2021 | 80.91 Mn |
Badger Meter Cost of Revenue 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=cost-of-revenue&ticker=BMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=BMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();