Skyline Bankshares (SLBK) Occupancy Expense (2015 - 2026)
Skyline Bankshares (SLBK) recorded Occupancy Expense of $1.65 million in Q3 2026, up 12.6% from $1.47 million a year earlier and up 8.0% from the prior quarter.
Skyline Bankshares (SLBK) Occupancy Expense (2015 - 2026) Analysis & Trends
On a TTM basis, Skyline Bankshares' Occupancy Expense came in at $6.24 million as of Sep 30, 2026, up 7.7% year-over-year; for FY2025, it came in at $5.87 million, up 4.1% from FY2024.
- Annual Occupancy Expense has increased for ten straight years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- Across earlier years, Occupancy Expense came in at $5.64 million in FY2024 (+12.0%), $5.03 million in FY2023 (+14.1%), $4.41 million in FY2022 (+21.9%) and $3.62 million in FY2021 (+11.7%).
- The Q3 2026 figure is the highest quarterly Occupancy Expense in data going back to Q3 2015.
- On a year-over-year basis, Occupancy Expense has increased for 31 consecutive quarters, with growth averaging 6.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Occupancy Expense ran from 0.9% in Q2 2025 to 29.5% in Q4 2022.
- Per Business Quant, the preceding three quarters came in at $1.53 million (Q2 2026), $1.55 million (Q1 2026) and $1.52 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Skyline Bankshares | 155.99 Mn | 155.99 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.65 Mn |
| Jun 30, 2026 | 1.53 Mn |
| Mar 31, 2026 | 1.55 Mn |
| Dec 31, 2025 | 1.52 Mn |
| Sep 30, 2025 | 1.47 Mn |
| Jun 30, 2025 | 1.41 Mn |
| Mar 31, 2025 | 1.48 Mn |
| Dec 31, 2024 | 1.45 Mn |
| Sep 30, 2024 | 1.39 Mn |
| Jun 30, 2024 | 1.39 Mn |
| Mar 31, 2024 | 1.41 Mn |
| Dec 31, 2023 | 1.31 Mn |
| Sep 30, 2023 | 1.36 Mn |
| Jun 30, 2023 | 1.17 Mn |
| Mar 31, 2023 | 1.19 Mn |
| Dec 31, 2022 | 1.19 Mn |
| Sep 30, 2022 | 1.14 Mn |
| Jun 30, 2022 | 1.07 Mn |
| Mar 31, 2022 | 1.01 Mn |
| Dec 31, 2021 | 922,000.00 |
Skyline Bankshares Occupancy Expense 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=occupancy-expense&ticker=SLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();