Skyline Bankshares (SLBK) EBITDA (2015 - 2026)
Skyline Bankshares (SLBK) reported EBITDA of $10.45 million for Q2 2026, up 11.5% from $9.37 million a year earlier and up 4.9% from the prior quarter.
Powered by 
Analysis
Skyline Bankshares (SLBK) EBITDA (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Skyline Bankshares' EBITDA came in at $40.28 million, up 26.5% year-over-year; for FY2025, it was $38.19 million, up 47.2% from FY2024.
- EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 24.3% (FY2020 to FY2025).
- By year, EBITDA came in at $25.95 million in FY2024 (+17.3%), $22.11 million in FY2023 (+30.8%), $16.91 million in FY2022 (+2.9%) and $16.43 million in FY2021 (+27.7%).
- The Q2 2026 figure ranks as the highest quarterly EBITDA in data going back to Q4 2015.
- Year over year, EBITDA has now increased in each of the last 15 quarters, with growth averaging 31.5% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q3 2025 (growth of 68.2%); the low point was Q2 2022 (a decline of 6.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.96 million (Q1 2026), $10.12 million (Q4 2025) and $9.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Skyline Bankshares | 157.40 Mn | 157.40 Mn | - | 10.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.45 Mn |
| Mar 31, 2026 | 9.96 Mn |
| Dec 31, 2025 | 10.12 Mn |
| Sep 30, 2025 | 9.75 Mn |
| Jun 30, 2025 | 9.37 Mn |
| Mar 31, 2025 | 8.95 Mn |
| Dec 31, 2024 | 7.72 Mn |
| Sep 30, 2024 | 5.80 Mn |
| Jun 30, 2024 | 6.22 Mn |
| Mar 31, 2024 | 6.21 Mn |
| Dec 31, 2023 | 6.07 Mn |
| Sep 30, 2023 | 5.37 Mn |
| Jun 30, 2023 | 5.70 Mn |
| Mar 31, 2023 | 4.97 Mn |
| Dec 31, 2022 | 4.69 Mn |
| Sep 30, 2022 | 4.45 Mn |
| Jun 30, 2022 | 3.80 Mn |
| Mar 31, 2022 | 3.97 Mn |
| Dec 31, 2021 | 4.32 Mn |
| Sep 30, 2021 | 4.49 Mn |
API Access
Skyline Bankshares EBITDA 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=ebitda&ticker=SLBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();