Gerdau (GGB) EPS (Diluted) (2009 - 2026)
Gerdau (GGB) reported EPS (Diluted) of $0.22 for the quarter ended Jun 30, 2026, up 102.0% from $0.11 a year earlier and up 50.4% from the prior quarter.
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Analysis
Gerdau (GGB) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Gerdau's EPS (Diluted) came in at $0.34, down 19.1% year-over-year; for the year ended Dec 31, 2025, it came in at $0.20, down 68.5% from the prior year.
- EPS (Diluted) has a five-year compound annual growth rate of 12.1% (years ended Dec 2020 to Dec 2025).
- By year, EPS (Diluted) came in at $0.62 in the year ended Dec 31, 2024 (-42.7%), $1.09 in the year ended Dec 31, 2023 (+108.7%), $0.52 in the year ended Dec 31, 2022 (-10.5%) and $0.58 in the year ended Dec 31, 2021 (+424.4%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly EPS (Diluted) since the quarter ended Mar 31, 2024.
- Year over year, EPS (Diluted) gained in three of the last seven quarters, with growth averaging 20.7%.
- The high point for year-over-year EPS (Diluted) in five years was the quarter ended Dec 31, 2021 (growth of 217.4%); the low point was the quarter ended Mar 31, 2025 (a decline of 68.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $0.15 (quarter ended Mar 31, 2026), -$0.19 (quarter ended Dec 31, 2025) and $0.15 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 2.01 |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 2.06 |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 0.68 |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 3.18 |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 1.11 |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 5.06 |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 2.69 |
| 10 | Gerdau | 9.44 Bn | 4.34 Bn | 558.98 Mn | 0.22 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.22 |
| Mar 31, 2026 | 0.15 |
| Dec 31, 2025 | -0.19 |
| Sep 30, 2025 | 0.15 |
| Jun 30, 2025 | 0.11 |
| Mar 31, 2025 | 0.09 |
| Dec 31, 2024 | 0.04 |
| Sep 30, 2024 | 0.18 |
| Jun 30, 2024 | 0.12 |
| Mar 31, 2024 | 0.30 |
| Dec 31, 2023 | 0.09 |
| Sep 30, 2023 | 0.08 |
| Jun 30, 2023 | 0.10 |
| Mar 31, 2023 | 0.14 |
| Dec 31, 2022 | 0.05 |
| Sep 30, 2022 | 0.13 |
| Jun 30, 2022 | 0.14 |
| Mar 31, 2022 | 0.12 |
| Dec 31, 2021 | 0.15 |
| Sep 30, 2021 | -0.13 |
API Access
Gerdau EPS (Diluted) 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=eps-diluted&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();