Stock Yards Bancorp (SYBT) Property, Plant & Equipment (Net) (2010 - 2026)
Stock Yards Bancorp (SYBT) recorded Property, Plant & Equipment (Net) of $129.7 million in Q2 2026, up 13.8% from $113.96 million a year earlier and up 8.2% from the prior quarter.
Stock Yards Bancorp (SYBT) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Stock Yards Bancorp reported Property, Plant & Equipment (Net) of $118.7 million, up 5.3% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $112.74 million in FY2024 (+11.4%), $101.17 million in FY2023 (-0.4%), $101.61 million in FY2022 (+32.1%) and $76.89 million in FY2021 (+32.5%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- On a year-over-year basis, Property, Plant & Equipment (Net) has increased for ten consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 90.7% in Q1 2022, against a decline of 17.3% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $119.86 million (Q1 2026), $118.7 million (Q4 2025) and $116.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 37.70 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 12.79 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 4.96 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 8.82 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 11.63 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 7.28 Bn |
| 10 | Stock Yards Bancorp | 2.43 Bn | 2.43 Bn | - | 129.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 129.70 Mn |
| Mar 31, 2026 | 119.86 Mn |
| Dec 31, 2025 | 118.70 Mn |
| Sep 30, 2025 | 116.21 Mn |
| Jun 30, 2025 | 113.96 Mn |
| Mar 31, 2025 | 113.97 Mn |
| Dec 31, 2024 | 112.74 Mn |
| Sep 30, 2024 | 111.34 Mn |
| Jun 30, 2024 | 111.11 Mn |
| Mar 31, 2024 | 106.73 Mn |
| Dec 31, 2023 | 101.17 Mn |
| Sep 30, 2023 | 98.43 Mn |
| Jun 30, 2023 | 98.78 Mn |
| Mar 31, 2023 | 100.76 Mn |
| Dec 31, 2022 | 101.61 Mn |
| Sep 30, 2022 | 98.74 Mn |
| Jun 30, 2022 | 119.46 Mn |
| Mar 31, 2022 | 108.83 Mn |
| Dec 31, 2021 | 76.89 Mn |
| Sep 30, 2021 | 77.35 Mn |
Stock Yards 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=SYBT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SYBT", "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=SYBT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();