Gerdau (GGB) EBITDA Margin (2009 - 2026)
Gerdau (GGB) posted EBITDA Margin of 111.65% for Q3 2026, up 31.74 percentage points from 79.91% a year earlier and up 11.53 percentage points from the prior quarter.
Gerdau (GGB) EBITDA Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA Margin at Gerdau was 13.26%, down 6.46 percentage points year-over-year; for FY2025, it was 9.37%, down 4.59 percentage points from FY2024.
- Annual EBITDA Margin has declined for four consecutive years, with a five-year change of -5.82 percentage points (FY2020 to FY2025).
- In prior years, Gerdau's EBITDA Margin was 13.96% in FY2024 (-3.44 pp), 17.40% in FY2023 (-4.51 pp), 21.91% in FY2022 (-4.39 pp) and 26.30% in FY2021 (+11.12 pp).
- The Q3 2026 figure stands as the highest quarterly EBITDA Margin in data going back to Q1 2009.
- On a year-over-year basis, EBITDA Margin has increased in each of the last three quarters, with an average year-over-year change of +21.95 percentage points over the last eight quarters.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was Q4 2021, with a gain of 70.69 percentage points; the weakest was Q4 2023, with a drop of 52.21 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior quarters was 100.11% (Q2 2026), 16.89% (Q1 2026) and 2.41% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 143.67 Bn | 118.41 Bn | 3.10 Bn | 64.84% |
| 3 | Rio Tinto | 132.43 Bn | 93.25 Bn | - | - |
| 4 | Newmont | 112.62 Bn | 77.76 Bn | 4.22 Bn | 25.96% |
| 5 | Freeport-Mcmoran | 88.59 Bn | 72.63 Bn | 2.19 Bn | 35.94% |
| 6 | Agnico Eagle Mines | 83.90 Bn | 70.85 Bn | 2.15 Bn | 68.77% |
| 7 | Barrick Mining | 63.24 Bn | 38.43 Bn | 2.90 Bn | 62.11% |
| 8 | Nucor | 62.36 Bn | 51.75 Bn | 2.03 Bn | 19.35% |
| 9 | ArcelorMittal | 46.11 Bn | 25.13 Bn | - | 10.95% |
| 10 | Gerdau | 9.31 Bn | 4.64 Bn | 651.76 Mn | 20.90% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 111.65% |
| Jun 30, 2026 | 100.11% |
| Mar 31, 2026 | 16.89% |
| Dec 31, 2025 | 6.66% |
| Sep 30, 2025 | 15.09% |
| Jun 30, 2025 | 79.91% |
| Mar 31, 2025 | 14.03% |
| Dec 31, 2024 | 6.74% |
| Sep 30, 2024 | 17.13% |
| Jun 30, 2024 | 15.40% |
| Mar 31, 2024 | 17.28% |
| Dec 31, 2023 | 5.68% |
| Sep 30, 2023 | 18.73% |
| Jun 30, 2023 | 19.77% |
| Mar 31, 2023 | 20.94% |
| Dec 31, 2022 | 57.89% |
| Sep 30, 2022 | 41.66% |
| Jun 30, 2022 | 15.23% |
| Mar 31, 2022 | 16.40% |
| Dec 31, 2021 | 92.90% |
Gerdau EBITDA Margin 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=ebitda-margin&ticker=GGB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();