Gerdau (GGB) Asset Writedowns and Impairment (2009 - 2026)
Gerdau (GGB) recorded Asset Writedowns and Impairment of -$3.42 million in the quarter ended Jun 30, 2026, compared with -$464,735 a year earlier.
Gerdau (GGB) Asset Writedowns and Impairment (2009 - 2026) Analysis & Trends
On a TTM basis, Gerdau's Asset Writedowns and Impairment came in at $356.78 million as of Jun 30, 2026, up 855.0% year-over-year; for the year ended Dec 31, 2025, it was $351.95 million, up 844.7% from the prior year.
- Annual Asset Writedowns and Impairment has a five-year compound annual growth rate of 34.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Asset Writedowns and Impairment came in at $37.25 million in the year ended Dec 31, 2024, -$2.15 million in the year ended Dec 31, 2023, -$15,718 in the year ended Dec 31, 2022 and -$64,004 in the year ended Dec 31, 2021.
- Quarterly Asset Writedowns and Impairment has ranged from -$5.4 million in the quarter ended Mar 31, 2026 to $365.6 million in the quarter ended Dec 31, 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$5.4 million (quarter ended Mar 31, 2026), $365.6 million (quarter ended Dec 31, 2025) and $9,177 (quarter ended Sep 30, 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.42 Mn |
| Mar 31, 2026 | -5.40 Mn |
| Dec 31, 2025 | 365.60 Mn |
| Sep 30, 2025 | 9,176.79 |
| Jun 30, 2025 | -464,735.17 |
| Mar 31, 2025 | -673,756.03 |
| Dec 31, 2024 | 39.40 Mn |
| Sep 30, 2024 | -904,574.30 |
| Jun 30, 2024 | -820,074.18 |
| Mar 31, 2024 | -4.06 Mn |
| Dec 31, 2023 | -1.14 Mn |
| Sep 30, 2023 | -836,905.26 |
| Jun 30, 2023 | 713,395.72 |
| Mar 31, 2023 | -869,294.34 |
| Dec 31, 2022 | 878,963.03 |
| Sep 30, 2022 | 1.16 Mn |
| Jun 30, 2022 | -403,283.47 |
| Mar 31, 2022 | 850,899.29 |
| Dec 31, 2021 | 1.18 Mn |
| Sep 30, 2021 | -198,981.22 |
Gerdau Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=GGB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();