Gibraltar Industries (ROCK) Buildings (2010 - 2025)
Gibraltar Industries' Buildings was $64.06 million in Q4 2025, up 51.4% from $42.3 million a year earlier.
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Analysis
Gibraltar Industries (ROCK) Buildings (2010 - 2025) Analysis & Trends
From Q4 2010 onward, Gibraltar Industries has reported Buildings for 16 quarters.
- Buildings shows a five-year compound annual growth rate of 9.2% (FY2020 to FY2025).
- In earlier years, Buildings was $42.3 million in FY2024 (-3.3%), $43.73 million in FY2023 (+0.7%), $43.42 million in FY2022 (+2.1%) and $42.53 million in FY2021 (+3.3%).
- The Q4 2025 figure marks the highest quarterly Buildings since Q4 2012.
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 | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | Gibraltar Industries | 1.40 Bn | 1.16 Bn | 132.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 64.06 Mn |
| Dec 31, 2024 | 42.30 Mn |
| Dec 31, 2023 | 43.73 Mn |
| Dec 31, 2022 | 43.42 Mn |
| Dec 31, 2021 | 42.53 Mn |
| Dec 31, 2020 | 41.16 Mn |
| Dec 31, 2019 | 39.90 Mn |
| Dec 31, 2018 | 46.68 Mn |
| Dec 31, 2017 | 46.56 Mn |
| Dec 31, 2016 | 50.28 Mn |
| Dec 31, 2015 | 47.78 Mn |
| Dec 31, 2014 | 59.38 Mn |
| Dec 31, 2013 | 61.73 Mn |
| Dec 31, 2012 | 71.41 Mn |
| Dec 31, 2011 | 68.40 Mn |
| Dec 31, 2010 | 65.16 Mn |
API Access
Gibraltar 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=ROCK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "ROCK", "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=ROCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();