Cathay General Bancorp (CATY) Property, Plant & Equipment (Net) (2010 - 2026)
Cathay General Bancorp's Property, Plant & Equipment (Net) came in at $90.61 million for Q2 2026, up 1.2% from $89.56 million a year earlier and up 2.4% from the prior quarter.
Cathay General Bancorp (CATY) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Cathay General Bancorp's Property, Plant & Equipment (Net) was $87.58 million, down 1.2% from FY2024.
- Property, Plant & Equipment (Net) has declined in each of the last six years, with a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $88.68 million in FY2024 (-2.7%), $91.1 million in FY2023 (-3.9%), $94.78 million in FY2022 (-4.7%) and $99.4 million in FY2021 (-3.5%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) since Q4 2023.
- Year-over-year, Property, Plant & Equipment (Net) increased in two of the last eight quarters, with an average decline of 0.9%.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2026 (growth of 1.2%), and the weakest in Q1 2023 (a decline of 5.7%).
- Business Quant data shows CATY's Property, Plant & Equipment (Net) at $88.46 million (Q1 2026), $87.58 million (Q4 2025) and $88.55 million (Q3 2025) in the three quarters before Q2 2026.
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 | Cathay General Bancorp | 4.07 Bn | 3.97 Bn | - | 90.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.61 Mn |
| Mar 31, 2026 | 88.46 Mn |
| Dec 31, 2025 | 87.58 Mn |
| Sep 30, 2025 | 88.55 Mn |
| Jun 30, 2025 | 89.56 Mn |
| Mar 31, 2025 | 89.76 Mn |
| Dec 31, 2024 | 88.68 Mn |
| Sep 30, 2024 | 89.16 Mn |
| Jun 30, 2024 | 89.45 Mn |
| Mar 31, 2024 | 90.45 Mn |
| Dec 31, 2023 | 91.10 Mn |
| Sep 30, 2023 | 91.03 Mn |
| Jun 30, 2023 | 92.09 Mn |
| Mar 31, 2023 | 93.20 Mn |
| Dec 31, 2022 | 94.78 Mn |
| Sep 30, 2022 | 96.42 Mn |
| Jun 30, 2022 | 97.57 Mn |
| Mar 31, 2022 | 98.80 Mn |
| Dec 31, 2021 | 99.40 Mn |
| Sep 30, 2021 | 100.34 Mn |
Cathay General 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=CATY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CATY", "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=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();