Armstrong World Industries (AWI) Buildings (2014 - 2025)
Armstrong World Industries (AWI) recorded Buildings of $303.2 million in Q4 2025, up 2.9% from $294.7 million a year earlier.
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Analysis
Armstrong World Industries (AWI) Buildings (2014 - 2025) Analysis & Trends
Starting with Q4 2014, Armstrong World Industries' Buildings history includes 12 quarters.
- Annual Buildings has increased for nine straight years, with a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- Across earlier years, Buildings came in at $294.7 million in FY2024 (+7.8%), $273.3 million in FY2023 (+2.1%), $267.8 million in FY2022 (+4.1%) and $257.2 million in FY2021 (+0.7%).
- The Q4 2025 figure is the highest quarterly Buildings since Q4 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Armstrong World Industries | 6.86 Bn | 6.50 Bn | 195.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 303.20 Mn |
| Dec 31, 2024 | 294.70 Mn |
| Dec 31, 2023 | 273.30 Mn |
| Dec 31, 2022 | 267.80 Mn |
| Dec 31, 2021 | 257.20 Mn |
| Dec 31, 2020 | 255.50 Mn |
| Dec 31, 2019 | 239.50 Mn |
| Dec 31, 2018 | 232.50 Mn |
| Dec 31, 2017 | 224.60 Mn |
| Dec 31, 2016 | 202.80 Mn |
| Dec 31, 2015 | 250.40 Mn |
| Dec 31, 2014 | 373.30 Mn |
API Access
Armstrong World Industries 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=AWI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "AWI", "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=AWI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();