Gerdau (GGB) Total Liabilities (2009 - 2026)
Gerdau (GGB) posted Total Liabilities of $5.63 billion for Q3 2026, down 8.4% from $6.15 billion a year earlier but up 2.6% from the prior quarter.
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Analysis
Gerdau (GGB) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Gerdau's Total Liabilities came in at $5.09 billion, up 9.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In prior years, Gerdau's Total Liabilities was $4.64 billion in FY2024 (-12.3%), $5.29 billion in FY2023 (+1.6%), $5.2 billion in FY2022 (-6.5%) and $5.57 billion in FY2021 (-9.8%).
- Quarterly Total Liabilities has run from a low of $4.64 billion in Q4 2024 to a high of $6.15 billion in Q3 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 4.2%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2025, with growth of 25.8%; the weakest was Q2 2022, with a decline of 100.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $5.49 billion (Q2 2026), $5.37 billion (Q1 2026) and $5.09 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 143.29 Bn | 118.03 Bn | 3.10 Bn | 12.01 Bn |
| 3 | Rio Tinto | 132.69 Bn | 93.51 Bn | - | 61.80 Bn |
| 4 | Newmont | 112.68 Bn | 77.82 Bn | 4.22 Bn | 22.33 Bn |
| 5 | Freeport-Mcmoran | 88.70 Bn | 72.74 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 84.05 Bn | 70.99 Bn | 2.15 Bn | 9.51 Bn |
| 7 | Barrick Mining | 63.43 Bn | 38.63 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 62.48 Bn | 51.86 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 46.31 Bn | 25.34 Bn | - | 44.33 Bn |
| 10 | Gerdau | 9.31 Bn | 4.64 Bn | 651.76 Mn | 5.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.63 Bn |
| Jun 30, 2026 | 5.49 Bn |
| Mar 31, 2026 | 5.37 Bn |
| Dec 31, 2025 | 5.09 Bn |
| Sep 30, 2025 | 6.15 Bn |
| Jun 30, 2025 | 5.83 Bn |
| Mar 31, 2025 | 5.13 Bn |
| Dec 31, 2024 | 4.64 Bn |
| Sep 30, 2024 | 4.89 Bn |
| Jun 30, 2024 | 4.96 Bn |
| Mar 31, 2024 | 4.99 Bn |
| Dec 31, 2023 | 5.29 Bn |
| Sep 30, 2023 | 5.13 Bn |
| Jun 30, 2023 | 5.11 Bn |
| Mar 31, 2023 | 5.33 Bn |
| Dec 31, 2022 | 5.20 Bn |
| Sep 30, 2022 | 5.63 Bn |
| Jun 30, 2022 | 5.82 Bn |
| Mar 31, 2022 | 6.08 Bn |
| Dec 31, 2021 | 5.57 Bn |
API Access
Gerdau Total Liabilities 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=total-liabilities&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();