Gerdau (GGB) Other Accumulated Expenses (2009 - 2026)
Gerdau's Other Accumulated Expenses was $276.1 million in the quarter ended Jun 30, 2026, up 11.1% from $248.49 million a year earlier and up 2.3% from the prior quarter.
Gerdau (GGB) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Other Accumulated Expenses at Gerdau came in at $278.94 million, down 26.9% from the prior year.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 12.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, Other Accumulated Expenses was $381.43 million in the year ended Dec 31, 2024 (+59.6%), $238.97 million in the year ended Dec 31, 2023 (+1.3%), $236.01 million in the year ended Dec 31, 2022 (+20.7%) and $195.49 million in the year ended Dec 31, 2021 (+24.9%).
- Quarterly Other Accumulated Expenses has moved between $160.61 million (the quarter ended Sep 30, 2021) and $351.7 million (the quarter ended Dec 31, 2024) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in five of the last eight quarters, with growth averaging 3.9%.
- The best year-over-year quarter for Other Accumulated Expenses over five years was the quarter ended Dec 31, 2024 (growth of 46.0%); the worst was the quarter ended Sep 30, 2024 (a decline of 20.4%).
- Per Business Quant data, GGB's Other Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $269.78 million (quarter ended Mar 31, 2026), $288.8 million (quarter ended Dec 31, 2025) and $233.16 million (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 | 276.10 Mn |
| Mar 31, 2026 | 269.78 Mn |
| Dec 31, 2025 | 288.80 Mn |
| Sep 30, 2025 | 233.16 Mn |
| Jun 30, 2025 | 248.49 Mn |
| Mar 31, 2025 | 256.42 Mn |
| Dec 31, 2024 | 351.70 Mn |
| Sep 30, 2024 | 230.81 Mn |
| Jun 30, 2024 | 289.25 Mn |
| Mar 31, 2024 | 212.66 Mn |
| Dec 31, 2023 | 240.87 Mn |
| Sep 30, 2023 | 289.86 Mn |
| Jun 30, 2023 | 256.07 Mn |
| Mar 31, 2023 | 180.21 Mn |
| Dec 31, 2022 | 231.19 Mn |
| Sep 30, 2022 | 203.46 Mn |
| Jun 30, 2022 | 193.88 Mn |
| Mar 31, 2022 | 170.22 Mn |
| Dec 31, 2021 | 195.49 Mn |
| Sep 30, 2021 | 160.61 Mn |
Gerdau Other Accumulated Expenses 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=other-accumulated-expenses&ticker=GGB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();