Gerdau (GGB) Accumulated Expenses (2009 - 2026)
Gerdau (GGB) recorded Accumulated Expenses of $198.58 million in Q3 2026, up 15.0% from $172.74 million a year earlier and up 22.4% from the prior quarter.
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Analysis
Gerdau (GGB) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Gerdau reported Accumulated Expenses of $167.18 million, up 12.4% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 8.0% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $148.69 million in FY2024 (-14.7%), $174.39 million in FY2023 (-12.8%), $199.89 million in FY2022 (-7.1%) and $215.28 million in FY2021 (+88.9%).
- The Q3 2026 figure is the highest quarterly Accumulated Expenses since Q4 2022.
- On a year-over-year basis, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 88.9% in Q4 2021, against a decline of 19.0% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $162.29 million (Q2 2026), $113.36 million (Q1 2026) and $167.18 million (Q4 2025).
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 |
|---|---|
| Sep 30, 2026 | 198.58 Mn |
| Jun 30, 2026 | 162.29 Mn |
| Mar 31, 2026 | 113.36 Mn |
| Dec 31, 2025 | 167.18 Mn |
| Sep 30, 2025 | 172.74 Mn |
| Jun 30, 2025 | 143.16 Mn |
| Mar 31, 2025 | 101.74 Mn |
| Dec 31, 2024 | 148.69 Mn |
| Sep 30, 2024 | 179.73 Mn |
| Jun 30, 2024 | 152.87 Mn |
| Mar 31, 2024 | 120.24 Mn |
| Dec 31, 2023 | 174.39 Mn |
| Sep 30, 2023 | 156.80 Mn |
| Jun 30, 2023 | 137.57 Mn |
| Mar 31, 2023 | 98.52 Mn |
| Dec 31, 2022 | 199.89 Mn |
| Sep 30, 2022 | 177.58 Mn |
| Jun 30, 2022 | 157.30 Mn |
| Mar 31, 2022 | 121.60 Mn |
| Dec 31, 2021 | 215.28 Mn |
API Access
Gerdau 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=accumulated-expenses&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();