Gerdau (GGB) Change in Inventory (2009 - 2026)
Gerdau's Change in Inventory was -$196.69 million in the quarter ended Jun 30, 2026, compared with $30.09 million a year earlier.
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Analysis
Gerdau (GGB) Change in Inventory (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gerdau's Change in Inventory was -$124.52 million through Jun 30, 2026; for the year ended Dec 31, 2025, it was $171.44 million, up 69.3% from the prior year.
- In earlier years, Change in Inventory was $101.24 million in the year ended Dec 31, 2024 (-61.3%), $261.61 million in the year ended Dec 31, 2023, -$395.7 million in the year ended Dec 31, 2022 and -$1.38 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Change in Inventory since the quarter ended Jun 30, 2022.
- Compared with a year earlier, Change in Inventory was higher in three of the last five quarters, with growth averaging 27.3%.
- Per Business Quant data, GGB's Change in Inventory in the three quarters before the quarter ended Jun 30, 2026 was -$166.25 million (quarter ended Mar 31, 2026), $147.39 million (quarter ended Dec 31, 2025) and $91.04 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 50.60 Mn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 131.00 Mn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | - |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 372.00 Mn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | -42.49 Mn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | - |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 377.00 Mn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | - |
| 10 | Gerdau | 9.44 Bn | 4.34 Bn | 558.98 Mn | -196.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -196.69 Mn |
| Mar 31, 2026 | -166.25 Mn |
| Dec 31, 2025 | 147.39 Mn |
| Sep 30, 2025 | 91.04 Mn |
| Jun 30, 2025 | 30.09 Mn |
| Mar 31, 2025 | -86.02 Mn |
| Dec 31, 2024 | 57.54 Mn |
| Sep 30, 2024 | 87.49 Mn |
| Jun 30, 2024 | 65.79 Mn |
| Mar 31, 2024 | -125.20 Mn |
| Dec 31, 2023 | 29.68 Mn |
| Sep 30, 2023 | 237.47 Mn |
| Jun 30, 2023 | -63.16 Mn |
| Mar 31, 2023 | 60.17 Mn |
| Dec 31, 2022 | 116.91 Mn |
| Sep 30, 2022 | -69.76 Mn |
| Jun 30, 2022 | -301.68 Mn |
| Mar 31, 2022 | -155.08 Mn |
| Dec 31, 2021 | -230.80 Mn |
| Sep 30, 2021 | -265.14 Mn |
API Access
Gerdau Change in Inventory 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=change-in-inventory&ticker=GGB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();