Skyline Bankshares (SLBK) Shares Outstanding (Entity) (2015 - 2026)
Skyline Bankshares (SLBK) posted Shares Outstanding (Entity) of 5.67 million for Q2 2026, up 0.4% from 5.65 million a year earlier and unchanged from the prior quarter.
Skyline Bankshares (SLBK) Shares Outstanding (Entity) (2015 - 2026) Analysis & Trends
Since Q3 2015, Skyline Bankshares has reported Shares Outstanding (Entity) for 44 quarters.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In prior years, Skyline Bankshares' Shares Outstanding (Entity) was 5.65 million in FY2024 (+1.2%), 5.58 million in FY2023 (-0.6%), 5.62 million in FY2022 (+0.2%) and 5.61 million in FY2021 (-7.3%).
- Quarterly Shares Outstanding (Entity) has run from a low of 5.58 million in Q4 2023 to a high of 5.98 million in Q3 2021 over five years.
- On a year-over-year basis, Shares Outstanding (Entity) has increased in each of the last ten quarters, with growth averaging 0.5% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q4 2024, with growth of 1.2%; the weakest was Q4 2021, with a decline of 7.3%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 5.67 million (Q1 2026), 5.67 million (Q4 2025) and 5.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 12.56 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.02 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 291.44 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.03 Bn |
| 10 | Skyline Bankshares | 160.81 Mn | 160.81 Mn | - | 5.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.67 Mn |
| Mar 31, 2026 | 5.67 Mn |
| Dec 31, 2025 | 5.67 Mn |
| Sep 30, 2025 | 5.65 Mn |
| Jun 30, 2025 | 5.65 Mn |
| Mar 31, 2025 | 5.65 Mn |
| Dec 31, 2024 | 5.65 Mn |
| Sep 30, 2024 | 5.64 Mn |
| Jun 30, 2024 | 5.63 Mn |
| Mar 31, 2024 | 5.63 Mn |
| Dec 31, 2023 | 5.58 Mn |
| Sep 30, 2023 | 5.59 Mn |
| Jun 30, 2023 | 5.59 Mn |
| Mar 31, 2023 | 5.61 Mn |
| Dec 31, 2022 | 5.62 Mn |
| Sep 30, 2022 | 5.61 Mn |
| Jun 30, 2022 | 5.61 Mn |
| Mar 31, 2022 | 5.62 Mn |
| Dec 31, 2021 | 5.61 Mn |
| Sep 30, 2021 | 5.98 Mn |
Skyline Bankshares Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=SLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();