Gerdau (GGB) Change in Property, Plant and Equipment (2009 - 2026)
Gerdau (GGB) reported Change in Property, Plant and Equipment of $215.7 million for Q3 2026, down 32.8% from $321.01 million a year earlier but up 2.1% from the prior quarter.
Gerdau (GGB) Change in Property, Plant and Equipment (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Gerdau's Change in Property, Plant and Equipment came in at -$1.56 billion; for FY2025, it came in at -$1.18 billion.
- By year, Change in Property, Plant and Equipment came in at -$787.27 million in FY2024, -$1.04 billion in FY2023, -$823.47 million in FY2022 and -$546.59 million in FY2021.
- Five-year quarterly Change in Property, Plant and Equipment spans a low of -$2.21 billion in Q4 2025 and a high of $523.17 million in Q1 2024.
- Year over year, Change in Property, Plant and Equipment has now declined in each of the last three quarters, with an average decline of 15.5% over the last six quarters.
- The high point for year-over-year Change in Property, Plant and Equipment in five years was Q1 2024 (growth of 183.0%); the low point was Q1 2025 (a decline of 39.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $211.31 million (Q2 2026), $222.74 million (Q1 2026) and -$2.21 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in PP&E (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 138.52 Bn | 113.25 Bn | 3.10 Bn | -515.80 Mn |
| 3 | Rio Tinto | 135.90 Bn | 96.73 Bn | - | - |
| 4 | Newmont | 126.75 Bn | 91.89 Bn | 4.22 Bn | -857.00 Mn |
| 5 | Ternium | 96.55 Bn | 64.81 Bn | 1.04 Bn | 399.69 Mn |
| 6 | Agnico Eagle Mines | 96.18 Bn | 83.12 Bn | 2.15 Bn | 902.80 Mn |
| 7 | Freeport-Mcmoran | 85.33 Bn | 69.37 Bn | 2.19 Bn | -1.10 Bn |
| 8 | Barrick Mining | 69.13 Bn | 44.33 Bn | 2.90 Bn | -1.18 Bn |
| 9 | Nucor | 55.83 Bn | 45.21 Bn | 2.03 Bn | -564.00 Mn |
| 10 | Gerdau | 8.78 Bn | 4.10 Bn | 651.76 Mn | 215.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 215.70 Mn |
| Jun 30, 2026 | 211.31 Mn |
| Mar 31, 2026 | 222.74 Mn |
| Dec 31, 2025 | -2.21 Bn |
| Sep 30, 2025 | 321.01 Mn |
| Jun 30, 2025 | 296.00 Mn |
| Mar 31, 2025 | 316.14 Mn |
| Dec 31, 2024 | -1.66 Bn |
| Sep 30, 2024 | 302.63 Mn |
| Jun 30, 2024 | 225.38 Mn |
| Mar 31, 2024 | 523.17 Mn |
| Dec 31, 2023 | -1.79 Bn |
| Sep 30, 2023 | 305.21 Mn |
| Jun 30, 2023 | 248.35 Mn |
| Mar 31, 2023 | 184.84 Mn |
| Dec 31, 2022 | -1.31 Bn |
| Sep 30, 2022 | 201.81 Mn |
| Jun 30, 2022 | 200.21 Mn |
| Mar 31, 2022 | 115.98 Mn |
| Dec 31, 2021 | 228.60 Mn |
Gerdau Change in Property, Plant and Equipment 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-property-plant-and-equipment&ticker=GGB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-property-plant-and-equipment", "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-property-plant-and-equipment&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();