Skyline Bankshares (SLBK) Property, Plant & Equipment (Net) (2015 - 2026)
Skyline Bankshares' Property, Plant & Equipment (Net) was $40.48 million in Q2 2026, up 8.8% from $37.19 million a year earlier but down 0.1% from the prior quarter.
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Analysis
Skyline Bankshares (SLBK) Property, Plant & Equipment (Net) (2015 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Skyline Bankshares came in at $40.76 million, up 17.6% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $34.66 million in FY2024 (+11.2%), $31.18 million in FY2023 (-1.8%), $31.75 million in FY2022 (+2.9%) and $30.86 million in FY2021 (+16.0%).
- Quarterly Property, Plant & Equipment (Net) has moved between $30.27 million (Q3 2021) and $40.91 million (Q3 2025) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for eight straight quarters, with growth averaging 13.9% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2022 (growth of 21.6%); the worst was Q3 2023 (a decline of 3.7%).
- Per Business Quant data, SLBK's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $40.5 million (Q1 2026), $40.76 million (Q4 2025) and $40.91 million (Q3 2025).
Peer Set
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 | Skyline Bankshares | 159.39 Mn | 159.39 Mn | - | 40.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.48 Mn |
| Mar 31, 2026 | 40.50 Mn |
| Dec 31, 2025 | 40.76 Mn |
| Sep 30, 2025 | 40.91 Mn |
| Jun 30, 2025 | 37.19 Mn |
| Mar 31, 2025 | 35.34 Mn |
| Dec 31, 2024 | 34.66 Mn |
| Sep 30, 2024 | 33.74 Mn |
| Jun 30, 2024 | 31.93 Mn |
| Mar 31, 2024 | 31.39 Mn |
| Dec 31, 2023 | 31.18 Mn |
| Sep 30, 2023 | 30.95 Mn |
| Jun 30, 2023 | 32.34 Mn |
| Mar 31, 2023 | 31.68 Mn |
| Dec 31, 2022 | 31.75 Mn |
| Sep 30, 2022 | 32.13 Mn |
| Jun 30, 2022 | 32.95 Mn |
| Mar 31, 2022 | 32.45 Mn |
| Dec 31, 2021 | 30.86 Mn |
| Sep 30, 2021 | 30.27 Mn |
API Access
Skyline Bankshares 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=SLBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SLBK", "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=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();