Gerdau (GGB) Revenue (2009 - 2026)
Gerdau (GGB) recorded Revenue of $3.53 billion in the quarter ended Jun 30, 2026, up 14.1% from $3.1 billion a year earlier and up 11.2% from the prior quarter.
Gerdau (GGB) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Gerdau's Revenue came in at $13.16 billion as of Jun 30, 2026, up 8.8% year-over-year; for the year ended Dec 31, 2025, it was $12.52 billion, up 0.1% from the prior year.
- Annual Revenue has a five-year compound annual growth rate of 7.8% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Revenue came in at $12.51 billion in the year ended Dec 31, 2024 (-9.4%), $13.81 billion in the year ended Dec 31, 2023 (-13.6%), $15.99 billion in the year ended Dec 31, 2022 (+13.9%) and $14.05 billion in the year ended Dec 31, 2021 (+63.3%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Revenue since the quarter ended Jun 30, 2023.
- On a year-over-year basis, Revenue has increased for four consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 79.6% in the quarter ended Sep 30, 2021, against a decline of 21.3% in the quarter ended Jun 30, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.18 billion (quarter ended Mar 31, 2026), $3.15 billion (quarter ended Dec 31, 2025) and $3.3 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 4.29 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 6.12 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 4.34 Bn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 7.03 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 5.29 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 10.40 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 16.76 Bn |
| 10 | Gerdau | 9.44 Bn | 4.34 Bn | 558.98 Mn | 3.53 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.53 Bn |
| Mar 31, 2026 | 3.18 Bn |
| Dec 31, 2025 | 3.15 Bn |
| Sep 30, 2025 | 3.30 Bn |
| Jun 30, 2025 | 3.10 Bn |
| Mar 31, 2025 | 2.97 Bn |
| Dec 31, 2024 | 2.89 Bn |
| Sep 30, 2024 | 3.13 Bn |
| Jun 30, 2024 | 3.20 Bn |
| Mar 31, 2024 | 3.28 Bn |
| Dec 31, 2023 | 2.97 Bn |
| Sep 30, 2023 | 3.50 Bn |
| Jun 30, 2023 | 3.69 Bn |
| Mar 31, 2023 | 3.63 Bn |
| Dec 31, 2022 | 3.41 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 |
| Sep 30, 2021 | 4.09 Bn |
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_KEY
import 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();