Gerdau (GGB) Prepaid Assets (2009 - 2026)
Gerdau (GGB) posted Prepaid Assets of $119.57 million for the quarter ended Jun 30, 2026, down 2.0% from $121.99 million a year earlier but up 13.7% from the prior quarter.
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Analysis
Gerdau (GGB) Prepaid Assets (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gerdau's Prepaid Assets came in at $121.63 million, up 4.1% from the prior year.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 0.9% (years ended Dec 2020 to Dec 2025).
- In prior years, Gerdau's Prepaid Assets was $116.85 million in the year ended Dec 31, 2024 (+7.3%), $108.88 million in the year ended Dec 31, 2023 (-29.0%), $153.28 million in the year ended Dec 31, 2022 (+25.9%) and $121.77 million in the year ended Dec 31, 2021 (+4.9%).
- Quarterly Prepaid Assets has run from a low of $94.05 million in the quarter ended Mar 31, 2025 to a high of $163.78 million in the quarter ended Jun 30, 2023 over five years.
- On a year-over-year basis, Prepaid Assets increased in two of the last eight quarters, with an average decline of 3.0%.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was the quarter ended Sep 30, 2022, with growth of 28.4%; the weakest was the quarter ended Sep 30, 2021, with a decline of 31.4%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $105.19 million (quarter ended Mar 31, 2026), $125.93 million (quarter ended Dec 31, 2025) and $127.73 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | Gerdau | 9.44 Bn | 4.34 Bn | 558.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.57 Mn |
| Mar 31, 2026 | 105.19 Mn |
| Dec 31, 2025 | 125.93 Mn |
| Sep 30, 2025 | 127.73 Mn |
| Jun 30, 2025 | 121.99 Mn |
| Mar 31, 2025 | 94.05 Mn |
| Dec 31, 2024 | 107.74 Mn |
| Sep 30, 2024 | 130.95 Mn |
| Jun 30, 2024 | 153.33 Mn |
| Mar 31, 2024 | 108.95 Mn |
| Dec 31, 2023 | 109.74 Mn |
| Sep 30, 2023 | 148.74 Mn |
| Jun 30, 2023 | 163.78 Mn |
| Mar 31, 2023 | 139.18 Mn |
| Dec 31, 2022 | 150.15 Mn |
| Sep 30, 2022 | 146.95 Mn |
| Jun 30, 2022 | 162.72 Mn |
| Mar 31, 2022 | 121.58 Mn |
| Dec 31, 2021 | 121.77 Mn |
| Sep 30, 2021 | 114.45 Mn |
API Access
Gerdau Prepaid Assets 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=prepaid-assets&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();