Gerdau (GGB) Receivables (2009 - 2026)
Gerdau (GGB) reported Receivables of $1.19 billion for the quarter ended Jun 30, 2026, up 15.7% from $1.02 billion a year earlier and up 6.4% from the prior quarter.
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Analysis
Gerdau (GGB) Receivables (2009 - 2026) Analysis & Trends
As of Dec 31, 2025, Gerdau posted Receivables of $861.84 million, down 10.8% from the prior year.
- Receivables has a five-year compound annual growth rate of 3.3% (years ended Dec 2020 to Dec 2025).
- By year, Receivables came in at $966.1 million in the year ended Dec 31, 2024 (-1.1%), $977.03 million in the year ended Dec 31, 2023 (+0.7%), $970.07 million in the year ended Dec 31, 2022 (-0.1%) and $970.64 million in the year ended Dec 31, 2021 (+32.3%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Receivables since the quarter ended Sep 30, 2022.
- Year over year, Receivables has now increased in each of the last four quarters, with an average decline of 1.2% over the last eight quarters.
- The high point for year-over-year Receivables in five years was the quarter ended Sep 30, 2021 (growth of 58.8%); the low point was the quarter ended Jun 30, 2023 (a decline of 23.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.11 billion (quarter ended Mar 31, 2026), $892.3 million (quarter ended Dec 31, 2025) and $1.08 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | 7.06 Bn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 2.07 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 1.18 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 764.12 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 716.00 Mn |
| 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 | 856.00 Mn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 4.05 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 4.51 Bn |
| 10 | Gerdau | 9.44 Bn | 4.34 Bn | 558.98 Mn | 1.19 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.19 Bn |
| Mar 31, 2026 | 1.11 Bn |
| Dec 31, 2025 | 892.30 Mn |
| Sep 30, 2025 | 1.08 Bn |
| Jun 30, 2025 | 1.02 Bn |
| Mar 31, 2025 | 1.07 Bn |
| Dec 31, 2024 | 890.81 Mn |
| Sep 30, 2024 | 1.02 Bn |
| Jun 30, 2024 | 1.13 Bn |
| Mar 31, 2024 | 1.11 Bn |
| Dec 31, 2023 | 984.82 Mn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.13 Bn |
| Mar 31, 2023 | 1.16 Bn |
| Dec 31, 2022 | 950.25 Mn |
| Sep 30, 2022 | 1.27 Bn |
| Jun 30, 2022 | 1.48 Bn |
| Mar 31, 2022 | 1.29 Bn |
| Dec 31, 2021 | 970.64 Mn |
| Sep 30, 2021 | 1.23 Bn |
API Access
Gerdau Receivables 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=receivables&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();