Ameris Bancorp (ABCB) Property, Plant & Equipment (Net) (2010 - 2026)
Ameris Bancorp (ABCB) posted Property, Plant & Equipment (Net) of $220.5 million for Q2 2026, up 4.3% from $211.43 million a year earlier and up 1.9% from the prior quarter.
Ameris Bancorp (ABCB) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Ameris Bancorp's Property, Plant & Equipment (Net) came in at $213.1 million, up 1.7% from FY2024.
- Annual Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- In prior years, Ameris Bancorp's Property, Plant & Equipment (Net) was $209.46 million in FY2024 (-3.2%), $216.44 million in FY2023 (-1.7%), $220.28 million in FY2022 (-2.3%) and $225.4 million in FY2021 (+1.1%).
- The Q2 2026 figure stands as the highest quarterly Property, Plant & Equipment (Net) since Q3 2022.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased in each of the last four quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The strongest year-over-year quarter for Property, Plant & Equipment (Net) in the past five years was Q2 2026, with growth of 4.3%; the weakest was Q4 2024, with a decline of 3.2%.
- According to Business Quant data, Property, Plant & Equipment (Net) for the three prior quarters was $216.4 million (Q1 2026), $213.1 million (Q4 2025) and $211.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 37.70 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 29.00 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 12.79 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 4.98 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 8.96 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 11.63 Bn |
| 10 | Ameris Bancorp | 5.47 Bn | 5.47 Bn | - | 220.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 220.50 Mn |
| Mar 31, 2026 | 216.40 Mn |
| Dec 31, 2025 | 213.10 Mn |
| Sep 30, 2025 | 211.57 Mn |
| Jun 30, 2025 | 211.43 Mn |
| Mar 31, 2025 | 207.90 Mn |
| Dec 31, 2024 | 209.46 Mn |
| Sep 30, 2024 | 210.93 Mn |
| Jun 30, 2024 | 213.26 Mn |
| Mar 31, 2024 | 214.80 Mn |
| Dec 31, 2023 | 216.44 Mn |
| Sep 30, 2023 | 217.56 Mn |
| Jun 30, 2023 | 218.66 Mn |
| Mar 31, 2023 | 218.88 Mn |
| Dec 31, 2022 | 220.28 Mn |
| Sep 30, 2022 | 222.69 Mn |
| Jun 30, 2022 | 224.25 Mn |
| Mar 31, 2022 | 224.29 Mn |
| Dec 31, 2021 | 225.40 Mn |
| Sep 30, 2021 | 226.43 Mn |
Ameris Bancorp Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ABCB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "ABCB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=ABCB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();