Gerdau (GGB) Gains from Sales and Divestitures (2009 - 2026)
Gerdau (GGB) recorded Gains from Sales and Divestitures of $1.72 million in the quarter ended Jun 30, 2026, down 16.6% from $2.06 million a year earlier but up 73.5% from the prior quarter.
Powered by 
Analysis
Gerdau (GGB) Gains from Sales and Divestitures (2009 - 2026) Analysis & Trends
On a TTM basis, Gerdau's Gains from Sales and Divestitures came in at $12.95 million as of Jun 30, 2026, up 76.2% year-over-year; for the year ended Dec 31, 2025, it came in at $13.51 million, up 57.8% from the prior year.
- Across earlier years, Gains from Sales and Divestitures came in at $8.56 million in the year ended Dec 31, 2024 (+55.1%), $5.52 million in the year ended Dec 31, 2023, -$4.96 million in the year ended Dec 31, 2022 and -$13.88 million in the year ended Dec 31, 2021.
- Quarterly Gains from Sales and Divestitures has ranged from -$13.21 million in the quarter ended Dec 31, 2021 to $11.2 million in the quarter ended Dec 31, 2025 over the past five years.
- On a year-over-year basis, Gains from Sales and Divestitures rose in four of the last seven quarters, with growth averaging 163.2%.
- Peak year-over-year performance for Gains from Sales and Divestitures in the last five years was growth of 717.1% in the quarter ended Dec 31, 2025, against a decline of 45.8% in the quarter ended Jun 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $991,066 (quarter ended Mar 31, 2026), $11.2 million (quarter ended Dec 31, 2025) and -$967,233 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Gerdau | 10.00 Bn | 4.91 Bn | 558.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.72 Mn |
| Mar 31, 2026 | 991,066.14 |
| Dec 31, 2025 | 11.20 Mn |
| Sep 30, 2025 | -967,233.33 |
| Jun 30, 2025 | 2.06 Mn |
| Mar 31, 2025 | 1.47 Mn |
| Dec 31, 2024 | 1.37 Mn |
| Sep 30, 2024 | 2.45 Mn |
| Jun 30, 2024 | 3.80 Mn |
| Mar 31, 2024 | 919,128.97 |
| Dec 31, 2023 | 265,626.08 |
| Sep 30, 2023 | 1.70 Mn |
| Jun 30, 2023 | 3.43 Mn |
| Mar 31, 2023 | 184,296.56 |
| Dec 31, 2022 | -1.34 Mn |
| Sep 30, 2022 | 6,489.83 |
| Jun 30, 2022 | -2.90 Mn |
| Mar 31, 2022 | -833,869.83 |
| Dec 31, 2021 | -13.21 Mn |
| Sep 30, 2021 | -1.08 Mn |
API Access
Gerdau Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();