Gibraltar Industries (ROCK) Return on Capital Employed [ROCE] (2010 - 2026)
Gibraltar Industries (ROCK) posted Return on Capital Employed [ROCE] of 4.78% for Q2 2026, down 6.97 percentage points from 11.75% a year earlier and down 0.84 percentage points from the prior quarter.
Gibraltar Industries (ROCK) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Gibraltar Industries' Return on Capital Employed [ROCE] came in at 11.80%, down 1.10 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -1.66 percentage points (FY2020 to FY2025).
- In prior years, Gibraltar Industries' Return on Capital Employed [ROCE] was 12.90% in FY2024 (+0.93 pp), 11.96% in FY2023 (-1.08 pp), 13.04% in FY2022 (+2.58 pp) and 10.47% in FY2021 (-3.00 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Capital Employed [ROCE] since Q3 2015.
- On a year-over-year basis, Return on Capital Employed [ROCE] has declined in each of the last three quarters, with an average year-over-year change of -1.97 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2023, with a gain of 3.46 percentage points; the weakest was Q2 2026, with a drop of 6.97 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 5.63% (Q1 2026), 11.69% (Q4 2025) and 12.47% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.12 Bn | 86.76 Bn | 2.38 Bn | 25.76% |
| 2 | Johnson Controls International | 85.49 Bn | 85.52 Bn | 2.71 Bn | - |
| 3 | Carrier Global | 43.38 Bn | 38.12 Bn | 1.90 Bn | -4.09% |
| 4 | Comfort Systems Usa | 38.65 Bn | 32.60 Bn | 934.48 Mn | 30.59% |
| 5 | Otis Worldwide | 29.75 Bn | 26.31 Bn | 1.16 Bn | 73.03% |
| 6 | James Hardie Industries | 16.90 Bn | 16.08 Bn | 562.40 Mn | 6.26% |
| 7 | Masco | 16.35 Bn | 14.41 Bn | 720.00 Mn | 36.93% |
| 8 | Allegion | 15.98 Bn | 14.60 Bn | 548.20 Mn | 20.57% |
| 9 | Carlisle Companies | 15.35 Bn | 12.26 Bn | 494.90 Mn | 19.33% |
| 10 | Gibraltar Industries | 1.08 Bn | 892.88 Mn | 115.05 Mn | 5.02% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.02% |
| Jun 30, 2026 | 4.78% |
| Mar 31, 2026 | 5.63% |
| Dec 31, 2025 | 11.69% |
| Sep 30, 2025 | 12.47% |
| Jun 30, 2025 | 11.75% |
| Mar 31, 2025 | 11.99% |
| Dec 31, 2024 | 12.11% |
| Sep 30, 2024 | 10.11% |
| Jun 30, 2024 | 11.35% |
| Mar 31, 2024 | 12.00% |
| Dec 31, 2023 | 11.52% |
| Sep 30, 2023 | 15.47% |
| Jun 30, 2023 | 15.18% |
| Mar 31, 2023 | 14.26% |
| Dec 31, 2022 | 12.35% |
| Sep 30, 2022 | 12.01% |
| Jun 30, 2022 | 11.82% |
| Mar 31, 2022 | 11.20% |
| Dec 31, 2021 | 10.36% |
Gibraltar Industries Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=ROCK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=ROCK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();