Gerdau (GGB) EBITDA (2009 - 2026)
Gerdau (GGB) posted EBITDA of $759.8 million for Q3 2026, up 52.6% from $498.04 million a year earlier and up 13.7% from the prior quarter.
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Analysis
Gerdau (GGB) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Gerdau was $2.27 billion, up 37.1% year-over-year; for FY2025, it was $1.3 billion, down 33.4% from FY2024.
- Annual EBITDA has declined for four consecutive years, with a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- In prior years, Gerdau's EBITDA was $1.95 billion in FY2024 (-27.3%), $2.68 billion in FY2023 (-32.4%), $3.96 billion in FY2022 (-9.2%) and $4.37 billion in FY2021 (+195.1%).
- The Q3 2026 figure stands as the highest quarterly EBITDA since Q1 2023.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 12.9% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2021, with growth of 540.6%; the weakest was Q4 2023, with a decline of 91.8%.
- According to Business Quant data, EBITDA for the three prior quarters was $668.53 million (Q2 2026), $536.34 million (Q1 2026) and $302.87 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 167.04 Bn | 136.08 Bn | - | - |
| 2 | Southern Copper | 143.79 Bn | 122.58 Bn | 2.90 Bn | 2.85 Bn |
| 3 | Rio Tinto | 133.03 Bn | 93.53 Bn | - | - |
| 4 | Newmont | 112.76 Bn | 77.90 Bn | 4.22 Bn | 1.65 Bn |
| 5 | Freeport-Mcmoran | 88.83 Bn | 88.83 Bn | - | - |
| 6 | Agnico Eagle Mines | 84.32 Bn | 71.27 Bn | 2.15 Bn | 2.21 Bn |
| 7 | Barrick Mining | 64.00 Bn | 39.19 Bn | 2.90 Bn | 3.29 Bn |
| 8 | Nucor | 62.56 Bn | 62.56 Bn | - | - |
| 9 | ArcelorMittal | 46.58 Bn | 25.61 Bn | - | 1.84 Bn |
| 10 | Gerdau | 9.32 Bn | 4.65 Bn | 651.76 Mn | 759.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 759.80 Mn |
| Jun 30, 2026 | 668.53 Mn |
| Mar 31, 2026 | 536.34 Mn |
| Dec 31, 2025 | 302.87 Mn |
| Sep 30, 2025 | 498.04 Mn |
| Jun 30, 2025 | 454.77 Mn |
| Mar 31, 2025 | 416.07 Mn |
| Dec 31, 2024 | 285.43 Mn |
| Sep 30, 2024 | 536.71 Mn |
| Jun 30, 2024 | 492.11 Mn |
| Mar 31, 2024 | 566.47 Mn |
| Dec 31, 2023 | 259.89 Mn |
| Sep 30, 2023 | 654.83 Mn |
| Jun 30, 2023 | 729.10 Mn |
| Mar 31, 2023 | 761.06 Mn |
| Dec 31, 2022 | 3.17 Bn |
| Sep 30, 2022 | 1.68 Bn |
| Jun 30, 2022 | 714.11 Mn |
| Mar 31, 2022 | 637.86 Mn |
| Dec 31, 2021 | 3.59 Bn |
API Access
Gerdau EBITDA 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&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();