Badger Meter (BMI) Income After Tax (2010 - 2026)
Badger Meter (BMI) reported Income After Tax of $35.9 million for Q3 2026, up 2.4% from $35.08 million a year earlier and up 20.8% from the prior quarter.
Badger Meter (BMI) Income After Tax (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Badger Meter's Income After Tax came in at $126.53 million, down 8.8% year-over-year; for FY2025, it came in at $141.63 million, up 13.4% from FY2024.
- Income After Tax has increased for seven consecutive years, with a five-year compound annual growth rate of 23.5% (FY2020 to FY2025).
- By year, Income After Tax came in at $124.94 million in FY2024 (+34.9%), $92.6 million in FY2023 (+39.3%), $66.5 million in FY2022 (+9.2%) and $60.88 million in FY2021 (+23.4%).
- The Q3 2026 figure ranks as the highest quarterly Income After Tax since Q1 2025.
- Year over year, Income After Tax gained in six of the last eight quarters, with growth averaging 4.9%.
- The high point for year-over-year Income After Tax in five years was Q1 2024 (growth of 50.0%); the low point was Q1 2026 (a decline of 28.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $29.72 million (Q2 2026), $27.34 million (Q1 2026) and $33.58 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income After Tax (Qtr) |
|---|---|---|---|---|---|
| 1 | Ecolab | 85.97 Bn | 78.95 Bn | 2.07 Bn | 554.40 Mn |
| 2 | Veralto | 28.80 Bn | 21.43 Bn | 908.00 Mn | 253.00 Mn |
| 3 | Xylem | 23.13 Bn | 18.86 Bn | 907.00 Mn | 288.00 Mn |
| 4 | Badger Meter | 4.57 Bn | 3.97 Bn | 98.85 Mn | 35.90 Mn |
| 5 | Ceco Environmental | 2.30 Bn | 2.12 Bn | 86.47 Mn | -34.49 Mn |
| 6 | NWPX Infrastructure | 882.96 Mn | 841.04 Mn | 38.19 Mn | 18.23 Mn |
| 7 | Energy Recovery | 374.69 Mn | 37.14 Mn | 4.20 Mn | -6.33 Mn |
| 8 | Cadiz | 320.18 Mn | 285.30 Mn | -24,000.00 | -11.37 Mn |
| 9 | AirJoule Technologies | 179.57 Mn | 59.19 Mn | - | -8.53 Mn |
| 10 | LanzaTech Global | 58.06 Mn | -39.57 Mn | 1.91 Mn | -9.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.90 Mn |
| Jun 30, 2026 | 29.72 Mn |
| Mar 31, 2026 | 27.34 Mn |
| Dec 31, 2025 | 33.58 Mn |
| Sep 30, 2025 | 35.08 Mn |
| Jun 30, 2025 | 34.58 Mn |
| Mar 31, 2025 | 38.40 Mn |
| Dec 31, 2024 | 30.72 Mn |
| Sep 30, 2024 | 32.04 Mn |
| Jun 30, 2024 | 33.06 Mn |
| Mar 31, 2024 | 29.13 Mn |
| Dec 31, 2023 | 24.72 Mn |
| Sep 30, 2023 | 25.97 Mn |
| Jun 30, 2023 | 22.49 Mn |
| Mar 31, 2023 | 19.42 Mn |
| Dec 31, 2022 | 17.54 Mn |
| Sep 30, 2022 | 17.93 Mn |
| Jun 30, 2022 | 16.66 Mn |
| Mar 31, 2022 | 14.36 Mn |
| Dec 31, 2021 | 17.28 Mn |
Badger Meter Income After Tax 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=profit-after-tax&ticker=BMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "profit-after-tax", "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=profit-after-tax&ticker=BMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();