Badger Meter (BMI) Buildings (2010 - 2025)
Badger Meter (BMI) posted Buildings of $74.96 million for Q4 2025, up 4.8% from $71.53 million a year earlier.
Analysis
Badger Meter (BMI) Buildings (2010 - 2025) Analysis & Trends
Since Q4 2010, Badger Meter has reported Buildings for 16 quarters.
- Annual Buildings shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Badger Meter's Buildings was $71.53 million in FY2024 (-0.9%), $72.15 million in FY2023 (+1.8%), $70.85 million in FY2022 (-0.4%) and $71.1 million in FY2021 (+2.0%).
- The Q4 2025 figure stands as the highest quarterly Buildings in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Ecolab | 78.59 Bn | 70.36 Bn | 1.95 Bn |
| 2 | Xylem | 23.57 Bn | 19.05 Bn | 963.00 Mn |
| 3 | Veralto | 23.49 Bn | 16.14 Bn | 902.00 Mn |
| 4 | Badger Meter | 3.66 Bn | 2.93 Bn | 90.77 Mn |
| 5 | Ceco Environmental | 3.13 Bn | 2.96 Bn | 86.47 Mn |
| 6 | NWPX Infrastructure | 993.98 Mn | 955.45 Mn | 34.36 Mn |
| 7 | Energy Recovery | 343.89 Mn | 19.06 Mn | 8.96 Mn |
| 8 | Cadiz | 301.30 Mn | 269.74 Mn | -24,000.00 |
| 9 | AirJoule Technologies | 296.32 Mn | 175.95 Mn | - |
| 10 | LanzaTech Global | 77.75 Mn | -37.39 Mn | 1.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 74.96 Mn |
| Dec 31, 2024 | 71.53 Mn |
| Dec 31, 2023 | 72.15 Mn |
| Dec 31, 2022 | 70.85 Mn |
| Dec 31, 2021 | 71.10 Mn |
| Dec 31, 2020 | 69.70 Mn |
| Dec 31, 2019 | 68.44 Mn |
| Dec 31, 2018 | 67.93 Mn |
| Dec 31, 2017 | 67.60 Mn |
| Dec 31, 2016 | 65.23 Mn |
| Dec 31, 2015 | 59.84 Mn |
| Dec 31, 2014 | 57.87 Mn |
| Dec 31, 2013 | 55.02 Mn |
| Dec 31, 2012 | 51.09 Mn |
| Dec 31, 2011 | 49.84 Mn |
| Dec 31, 2010 | 48.01 Mn |
API Access
Badger Meter Buildings 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=buildings&ticker=BMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=BMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();