Gerdau (GGB) Intangibles (2009 - 2026)
Gerdau's Intangibles was $136.26 million in the quarter ended Jun 30, 2026, up 86.3% from $73.14 million a year earlier and up 4.7% from the prior quarter.
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Analysis
Gerdau (GGB) Intangibles (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Intangibles at Gerdau came in at $123.86 million, up 65.7% from the prior year.
- Intangibles shows a five-year compound annual growth rate of 0.3% (years ended Dec 2020 to Dec 2025).
- In earlier years, Intangibles was $74.75 million in the year ended Dec 31, 2024 (-0.2%), $74.89 million in the year ended Dec 31, 2023 (-7.0%), $80.56 million in the year ended Dec 31, 2022 (-11.8%) and $91.39 million in the year ended Dec 31, 2021 (-25.2%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Intangibles since the quarter ended Jun 30, 2020.
- Compared with a year earlier, Intangibles has increased for four straight quarters, with growth averaging 39.3% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was the quarter ended Mar 31, 2026 (growth of 96.5%); the worst was the quarter ended Sep 30, 2021 (a decline of 24.5%).
- Per Business Quant data, GGB's Intangibles in the three quarters before the quarter ended Jun 30, 2026 was $130.15 million (quarter ended Mar 31, 2026), $128.24 million (quarter ended Dec 31, 2025) and $130.67 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 5.13 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 | 1.04 Bn |
| 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 | 148.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 2.75 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Gerdau | 9.44 Bn | 4.34 Bn | 558.98 Mn | 136.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136.26 Mn |
| Mar 31, 2026 | 130.15 Mn |
| Dec 31, 2025 | 128.24 Mn |
| Sep 30, 2025 | 130.67 Mn |
| Jun 30, 2025 | 73.14 Mn |
| Mar 31, 2025 | 66.24 Mn |
| Dec 31, 2024 | 68.93 Mn |
| Sep 30, 2024 | 70.29 Mn |
| Jun 30, 2024 | 75.79 Mn |
| Mar 31, 2024 | 73.63 Mn |
| Dec 31, 2023 | 75.49 Mn |
| Sep 30, 2023 | 86.11 Mn |
| Jun 30, 2023 | 87.39 Mn |
| Mar 31, 2023 | 87.66 Mn |
| Dec 31, 2022 | 78.92 Mn |
| Sep 30, 2022 | 83.32 Mn |
| Jun 30, 2022 | 88.92 Mn |
| Mar 31, 2022 | 86.00 Mn |
| Dec 31, 2021 | 91.39 Mn |
| Sep 30, 2021 | 97.30 Mn |
API Access
Gerdau Intangibles 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=intangibles&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();