Gerdau (GGB) Return on Capital Employed [ROCE] (2009 - 2026)
Gerdau's Return on Capital Employed [ROCE] was 11.41% in Q3 2026, up 3.77 percentage points from 7.64% a year earlier and up 1.58 percentage points from the prior quarter.
Gerdau (GGB) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Gerdau came in at 5.28%, down 5.47 percentage points from FY2024.
- Return on Capital Employed [ROCE] has now declined for four consecutive years, with a five-year change of -4.34 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 10.76% in FY2024 (-6.17 pp), 16.93% in FY2023 (-14.22 pp), 31.14% in FY2022 (-7.18 pp) and 38.33% in FY2021 (+28.70 pp).
- The Q3 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q1 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last eight quarters, with an average year-over-year change of -1.16 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2022 (a gain of 51.87 percentage points); the worst was Q1 2024 (a drop of 36.66 percentage points).
- Per Business Quant data, GGB's Return on Capital Employed [ROCE] in the three quarters before Q3 2026 was 9.83% (Q2 2026), 8.66% (Q1 2026) and 7.53% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn | 45.35% |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn | 10.69% |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn | 7.47% |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | 26.02% |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn | 13.20% |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn | 22.21% |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn | 13.42% |
| 10 | Gerdau | 8.78 Bn | 4.10 Bn | 651.76 Mn | 12.20% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.20% |
| Jun 30, 2026 | 10.64% |
| Mar 31, 2026 | 9.49% |
| Dec 31, 2025 | 8.32% |
| Sep 30, 2025 | 7.64% |
| Jun 30, 2025 | 8.45% |
| Mar 31, 2025 | 9.54% |
| Dec 31, 2024 | 10.39% |
| Sep 30, 2024 | 9.91% |
| Jun 30, 2024 | 10.57% |
| Mar 31, 2024 | 12.17% |
| Dec 31, 2023 | 14.01% |
| Sep 30, 2023 | 36.23% |
| Jun 30, 2023 | 44.89% |
| Mar 31, 2023 | 48.83% |
| Dec 31, 2022 | 48.04% |
| Sep 30, 2022 | 51.90% |
| Jun 30, 2022 | 45.37% |
| Mar 31, 2022 | 46.33% |
| Dec 31, 2021 | 47.98% |
Gerdau 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=GGB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "GGB", "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=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();