Skyline Bankshares (SLBK) Securities - Tradable (2015 - 2026)
Skyline Bankshares (SLBK) recorded Securities - Tradable of $104.75 million in Q2 2026, down 8.5% from $114.46 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Skyline Bankshares (SLBK) Securities - Tradable (2015 - 2026) Analysis & Trends
At the end of FY2025, Skyline Bankshares reported Securities - Tradable of $114.1 million, down 3.5% from FY2024.
- Annual Securities - Tradable has declined for three straight years, though with a five-year compound annual growth rate of 27.8% (FY2020 to FY2025).
- Across earlier years, Securities - Tradable came in at $118.29 million in FY2024 (-7.1%), $127.39 million in FY2023 (-5.7%), $135.15 million in FY2022 (+4.2%) and $129.72 million in FY2021 (+287.1%).
- The Q2 2026 figure is the lowest quarterly Securities - Tradable since Q2 2021.
- On a year-over-year basis, Securities - Tradable has declined for seven consecutive quarters, with an average decline of 5.5% over the last eight quarters.
- Peak year-over-year performance for Securities - Tradable in the last five years was growth of 287.1% in Q4 2021, against a decline of 14.5% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $106.14 million (Q1 2026), $114.1 million (Q4 2025) and $114.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Skyline Bankshares | 157.40 Mn | 157.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.75 Mn |
| Mar 31, 2026 | 106.14 Mn |
| Dec 31, 2025 | 114.10 Mn |
| Sep 30, 2025 | 114.49 Mn |
| Jun 30, 2025 | 114.46 Mn |
| Mar 31, 2025 | 118.48 Mn |
| Dec 31, 2024 | 118.29 Mn |
| Sep 30, 2024 | 123.91 Mn |
| Jun 30, 2024 | 120.69 Mn |
| Mar 31, 2024 | 122.37 Mn |
| Dec 31, 2023 | 127.39 Mn |
| Sep 30, 2023 | 121.75 Mn |
| Jun 30, 2023 | 128.09 Mn |
| Mar 31, 2023 | 136.68 Mn |
| Dec 31, 2022 | 135.15 Mn |
| Sep 30, 2022 | 138.49 Mn |
| Jun 30, 2022 | 149.89 Mn |
| Mar 31, 2022 | 149.44 Mn |
| Dec 31, 2021 | 129.72 Mn |
| Sep 30, 2021 | 107.42 Mn |
API Access
Skyline Bankshares Securities - Tradable 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=securities-tradable&ticker=SLBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "securities-tradable", "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=securities-tradable&ticker=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();