Gerdau (GGB) Total Non-Current Liabilities (2009 - 2026)
Gerdau (GGB) reported Total Non-Current Liabilities of $3.56 billion for Q3 2026, down 6.0% from $3.79 billion a year earlier but up 2.6% from the prior quarter.
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Analysis
Gerdau (GGB) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Gerdau posted Total Non-Current Liabilities of $3.29 billion, up 14.2% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $2.88 billion in FY2024 (-2.8%), $2.96 billion in FY2023 (+11.5%), $2.66 billion in FY2022 (-12.8%) and $3.05 billion in FY2021 (-23.1%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $148.03 million in Q3 2022 and a high of $3.79 billion in Q3 2025.
- Year over year, Total Non-Current Liabilities gained in five of the last eight quarters, with growth averaging 10.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2023 (growth of 832.0%); the low point was Q1 2022 (a decline of 92.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $3.47 billion (Q2 2026), $3.37 billion (Q1 2026) and $3.29 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | 46.26 Bn |
| 2 | Southern Copper | 143.67 Bn | 118.41 Bn | 3.10 Bn | 9.26 Bn |
| 3 | Rio Tinto | 132.43 Bn | 93.25 Bn | - | 46.26 Bn |
| 4 | Newmont | 112.62 Bn | 77.76 Bn | 4.22 Bn | 15.71 Bn |
| 5 | Freeport-Mcmoran | 88.59 Bn | 72.63 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 83.90 Bn | 70.85 Bn | 2.15 Bn | 7.27 Mn |
| 7 | Barrick Mining | 63.24 Bn | 38.43 Bn | 2.90 Bn | 23.61 Bn |
| 8 | Nucor | 62.36 Bn | 51.75 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 46.11 Bn | 25.13 Bn | - | 19.93 Bn |
| 10 | Gerdau | 9.31 Bn | 4.64 Bn | 651.76 Mn | 3.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.56 Bn |
| Jun 30, 2026 | 3.47 Bn |
| Mar 31, 2026 | 3.37 Bn |
| Dec 31, 2025 | 3.29 Bn |
| Sep 30, 2025 | 3.79 Bn |
| Jun 30, 2025 | 3.69 Bn |
| Mar 31, 2025 | 2.98 Bn |
| Dec 31, 2024 | 2.88 Bn |
| Sep 30, 2024 | 2.82 Bn |
| Jun 30, 2024 | 2.87 Bn |
| Mar 31, 2024 | 2.83 Bn |
| Dec 31, 2023 | 2.96 Bn |
| Sep 30, 2023 | 3.00 Bn |
| Jun 30, 2023 | 2.95 Bn |
| Mar 31, 2023 | 2.73 Bn |
| Dec 31, 2022 | 2.66 Bn |
| Sep 30, 2022 | 148.03 Mn |
| Jun 30, 2022 | 2.63 Bn |
| Mar 31, 2022 | 293.13 Mn |
| Dec 31, 2021 | 3.05 Bn |
API Access
Gerdau Total Non-Current 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-non-current-liabilities&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();