Gibraltar Industries (ROCK) Operating Income (2009 - 2026)
Gibraltar Industries (ROCK) recorded Operating Income of $59.82 million in Q2 2026, up 51.4% from $39.51 million a year earlier.
Gibraltar Industries (ROCK) Operating Income (2009 - 2026) Analysis & Trends
On a TTM basis, Gibraltar Industries' Operating Income came in at $109.95 million as of Jun 30, 2026, down 19.7% year-over-year; for FY2025, it was $122.75 million, down 12.1% from FY2024.
- Annual Operating Income has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- Across earlier years, Operating Income came in at $139.67 million in FY2024 (+15.8%), $120.57 million in FY2023 (-7.3%), $130.1 million in FY2022 (+34.1%) and $96.99 million in FY2021 (-9.5%).
- The Q2 2026 figure is the highest quarterly Operating Income in data going back to Q2 2009.
- On a year-over-year basis, Operating Income rose in 1 of the last six quarters, with an average decline of 5.1%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 65.4% in Q1 2022, against a decline of 42.8% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$4.46 million (Q1 2026), $14.65 million (Q4 2025) and $39.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 1.22 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 987.00 Mn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 557.97 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 825.00 Mn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 575.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 217.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 470.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 254.70 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 352.50 Mn |
| 10 | Gibraltar Industries | 1.38 Bn | 1.14 Bn | 132.08 Mn | 59.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.82 Mn |
| Mar 31, 2026 | -4.46 Mn |
| Dec 31, 2025 | 14.65 Mn |
| Sep 30, 2025 | 39.94 Mn |
| Jun 30, 2025 | 39.51 Mn |
| Mar 31, 2025 | 28.66 Mn |
| Dec 31, 2024 | 25.59 Mn |
| Sep 30, 2024 | 43.17 Mn |
| Jun 30, 2024 | 40.82 Mn |
| Mar 31, 2024 | 31.74 Mn |
| Dec 31, 2023 | -5.07 Mn |
| Sep 30, 2023 | 53.19 Mn |
| Jun 30, 2023 | 43.08 Mn |
| Mar 31, 2023 | 29.37 Mn |
| Dec 31, 2022 | 21.37 Mn |
| Sep 30, 2022 | 47.40 Mn |
| Jun 30, 2022 | 40.14 Mn |
| Mar 31, 2022 | 21.20 Mn |
| Dec 31, 2021 | 14.79 Mn |
| Sep 30, 2021 | 37.98 Mn |
Gibraltar Industries Operating Income 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=operating-income&ticker=ROCK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=ROCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();