Gerdau (GGB) Revenue (2009 - 2026)
Gerdau (GGB) recorded Revenue of $680.55 million in Q3 2026, up 9.2% from $623.28 million a year earlier and up 1.9% from the prior quarter.
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Analysis
Gerdau (GGB) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Gerdau's Revenue came in at $17.11 billion as of Sep 30, 2026, up 103.8% year-over-year; for FY2025, it was $13.87 billion, down 0.7% from FY2024.
- Annual Revenue has declined for three straight years, though with a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $13.96 billion in FY2024 (-9.3%), $15.4 billion in FY2023 (-14.9%), $18.09 billion in FY2022 (+9.0%) and $16.6 billion in FY2021 (+70.3%).
- Quarterly Revenue has ranged from $569.12 million in Q2 2025 to $12.58 billion in Q4 2025 over the past five years.
- On a year-over-year basis, Revenue has increased for four consecutive quarters, with growth averaging 6.4% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 197.1% in Q4 2025, against a decline of 82.2% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $667.77 million (Q2 2026), $3.18 billion (Q1 2026) and $12.58 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 167.04 Bn | 136.08 Bn | - | - |
| 2 | Southern Copper | 148.50 Bn | 127.28 Bn | 2.90 Bn | 4.29 Bn |
| 3 | Rio Tinto | 134.57 Bn | 95.07 Bn | - | - |
| 4 | Newmont | 114.67 Bn | 79.81 Bn | 4.22 Bn | 6.36 Bn |
| 5 | Freeport-Mcmoran | 90.64 Bn | 90.64 Bn | - | 7.55 Bn |
| 6 | Agnico Eagle Mines | 85.70 Bn | 72.65 Bn | 2.15 Bn | 3.58 Bn |
| 7 | Barrick Mining | 64.92 Bn | 40.12 Bn | 2.90 Bn | 5.29 Bn |
| 8 | Nucor | 63.40 Bn | 63.40 Bn | - | 11.25 Bn |
| 9 | ArcelorMittal | 46.81 Bn | 25.83 Bn | - | 16.76 Bn |
| 10 | Gerdau | 9.29 Bn | 4.61 Bn | 651.76 Mn | 680.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 680.55 Mn |
| Jun 30, 2026 | 667.77 Mn |
| Mar 31, 2026 | 3.18 Bn |
| Dec 31, 2025 | 4.55 Bn |
| Sep 30, 2025 | 3.30 Bn |
| Jun 30, 2025 | 569.12 Mn |
| Mar 31, 2025 | 2.97 Bn |
| Dec 31, 2024 | 4.24 Bn |
| Sep 30, 2024 | 3.13 Bn |
| Jun 30, 2024 | 3.20 Bn |
| Mar 31, 2024 | 3.28 Bn |
| Dec 31, 2023 | 4.57 Bn |
| Sep 30, 2023 | 3.50 Bn |
| Jun 30, 2023 | 3.69 Bn |
| Mar 31, 2023 | 3.63 Bn |
| Dec 31, 2022 | 5.47 Bn |
| Sep 30, 2022 | 4.04 Bn |
| Jun 30, 2022 | 4.69 Bn |
| Mar 31, 2022 | 3.89 Bn |
| Dec 31, 2021 | 3.86 Bn |
API Access
Gerdau Revenue 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=revenue&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();