Gerdau (GGB) EBIT (2009 - 2026)
Gerdau's EBIT came in at $586.98 million for Q3 2026, up 75.2% from $335.08 million a year earlier and up 18.8% from the prior quarter.
Gerdau (GGB) EBIT (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Gerdau reported EBIT of $1.59 billion, up 51.0% year-over-year; for FY2025, it came in at $669.87 million, down 52.1% from FY2024.
- EBIT has declined in each of the last four years, with a five-year compound annual growth rate of -8.1% (FY2020 to FY2025).
- Going back by year, EBIT was $1.4 billion in FY2024 (-33.3%), $2.09 billion in FY2023 (-39.2%), $3.44 billion in FY2022 (-11.8%) and $3.9 billion in FY2021 (+282.9%).
- The Q3 2026 figure represents the highest quarterly EBIT since Q1 2023.
- Year-over-year, EBIT has increased for three consecutive quarters, with growth averaging 17.7% over the last eight quarters.
- The fastest year-over-year change in EBIT over five years came in Q4 2021 (growth of 700.8%), and the weakest in Q4 2023 (a decline of 96.5%).
- Business Quant data shows GGB's EBIT at $494.17 million (Q2 2026), $371.95 million (Q1 2026) and $138.06 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 143.19 Bn | 117.92 Bn | 3.10 Bn | 2.82 Bn |
| 3 | Rio Tinto | 132.67 Bn | 93.50 Bn | - | - |
| 4 | Newmont | 112.55 Bn | 77.69 Bn | 4.22 Bn | 1.02 Bn |
| 5 | Freeport-Mcmoran | 88.75 Bn | 72.79 Bn | 2.19 Bn | 2.00 Bn |
| 6 | Agnico Eagle Mines | 83.96 Bn | 70.90 Bn | 2.15 Bn | 2.01 Bn |
| 7 | Barrick Mining | 63.36 Bn | 38.56 Bn | 2.90 Bn | 2.73 Bn |
| 8 | Nucor | 62.60 Bn | 51.98 Bn | 2.03 Bn | 1.63 Bn |
| 9 | ArcelorMittal | 46.33 Bn | 25.35 Bn | - | 1.06 Bn |
| 10 | Gerdau | 9.33 Bn | 4.66 Bn | 651.76 Mn | 586.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 586.98 Mn |
| Jun 30, 2026 | 494.17 Mn |
| Mar 31, 2026 | 371.95 Mn |
| Dec 31, 2025 | 138.06 Mn |
| Sep 30, 2025 | 335.08 Mn |
| Jun 30, 2025 | 296.58 Mn |
| Mar 31, 2025 | 272.64 Mn |
| Dec 31, 2024 | 149.76 Mn |
| Sep 30, 2024 | 400.73 Mn |
| Jun 30, 2024 | 354.34 Mn |
| Mar 31, 2024 | 425.04 Mn |
| Dec 31, 2023 | 107.45 Mn |
| Sep 30, 2023 | 499.58 Mn |
| Jun 30, 2023 | 583.59 Mn |
| Mar 31, 2023 | 628.74 Mn |
| Dec 31, 2022 | 3.03 Bn |
| Sep 30, 2022 | 1.55 Bn |
| Jun 30, 2022 | 578.80 Mn |
| Mar 31, 2022 | 518.73 Mn |
| Dec 31, 2021 | 3.47 Bn |
Gerdau EBIT 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=ebit&ticker=GGB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();