Gerdau (GGB) Other Accumulated Expenses (2009 - 2024)
Gerdau's Other Accumulated Expenses was $330.84 billion in Q4 2024, up 34.6% from $245.86 billion a year earlier.
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Analysis
Gerdau (GGB) Other Accumulated Expenses (2009 - 2024) Analysis & Trends
From Q1 2009 onward, Gerdau has reported Other Accumulated Expenses for 21 quarters.
- Other Accumulated Expenses shows a five-year compound annual growth rate of 1719.2% (FY2019 to FY2024).
- In earlier years, Other Accumulated Expenses was $245.86 billion in FY2023, $230.14 million in FY2022 (-100.0%), $195.76 trillion in FY2021 (+27.5%) and $153.56 trillion in FY2020.
- The Q4 2024 figure marks the highest quarterly Other Accumulated Expenses since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn |
| 10 | Gerdau | 8.78 Bn | 4.10 Bn | 651.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 330.84 Bn |
| Dec 31, 2023 | 245.86 Bn |
| Dec 31, 2022 | 230.14 Mn |
| Dec 31, 2021 | 195,755.26 Bn |
| Dec 31, 2020 | 153,555.52 Bn |
| Dec 31, 2019 | 166,062.26 |
| Dec 31, 2018 | 255.27 Bn |
| Dec 31, 2017 | 188.88 Bn |
| Dec 31, 2009 | 86.63 Mn |
API Access
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_KEYimport 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();