Skyline Bankshares (SLBK) Provision for Losses (2015 - 2026)
Skyline Bankshares' Provision for Losses came in at $210,000 for Q2 2026, down 26.1% from $284,000 a year earlier and down 24.7% from the prior quarter.
Skyline Bankshares (SLBK) Provision for Losses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Skyline Bankshares reported Provision for Losses of $895,000, down 36.7% year-over-year; for FY2025, it came in at $868,000, down 22.2% from FY2024.
- Provision for Losses carries a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- Going back by year, Provision for Losses was $1.12 million in FY2024, -$50,000 in FY2023, $606,000 in FY2022 (-16.2%) and $723,000 in FY2021 (-39.2%).
- The five-year range for quarterly Provision for Losses is -$195,000 (Q2 2023) to $738,000 (Q3 2024).
- Year-over-year, Provision for Losses increased in six of the last eight quarters, with growth averaging 108.1%.
- The fastest year-over-year change in Provision for Losses over five years came in Q3 2024 (growth of 305.5%), and the weakest in Q3 2025 (a decline of 74.4%).
- Business Quant data shows SLBK's Provision for Losses at $279,000 (Q1 2026), $217,000 (Q4 2025) and $189,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 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 | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 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 |
|---|---|
| Jun 30, 2026 | 210,000.00 |
| Mar 31, 2026 | 279,000.00 |
| Dec 31, 2025 | 217,000.00 |
| Sep 30, 2025 | 189,000.00 |
| Jun 30, 2025 | 284,000.00 |
| Mar 31, 2025 | 178,000.00 |
| Dec 31, 2024 | 214,000.00 |
| Sep 30, 2024 | 738,000.00 |
| Jun 30, 2024 | 71,000.00 |
| Mar 31, 2024 | 93,000.00 |
| Dec 31, 2023 | 69,000.00 |
| Sep 30, 2023 | 182,000.00 |
| Jun 30, 2023 | -195,000.00 |
| Mar 31, 2023 | -106,000.00 |
| Dec 31, 2022 | 104,000.00 |
| Sep 30, 2022 | 148,000.00 |
| Jun 30, 2022 | 217,000.00 |
| Mar 31, 2022 | 137,000.00 |
| Dec 31, 2021 | 147,000.00 |
| Sep 30, 2021 | 219,000.00 |
Skyline Bankshares Provision for Losses 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=provision-for-losses&ticker=SLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();