Skyline Bankshares (SLBK) EBITDA Margin (2015 - 2026)
Skyline Bankshares' EBITDA Margin came in at 63.86% for Q2 2026, down 1.36 percentage points from 65.22% a year earlier and down 0.40 percentage points from the prior quarter.
Skyline Bankshares (SLBK) EBITDA Margin (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Skyline Bankshares reported EBITDA Margin of 64.79%, up 5.05 percentage points year-over-year; for FY2025, it came in at 65.64%, up 10.14 percentage points from FY2024.
- EBITDA Margin has increased in each of the last three years, with a five-year change of +27.35 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was 55.49% in FY2024 (+3.55 pp), 51.95% in FY2023 (+10.60 pp), 41.35% in FY2022 (-0.89 pp) and 42.24% in FY2021 (+3.95 pp).
- The Q2 2026 figure represents the lowest quarterly EBITDA Margin since Q4 2024.
- Year-over-year, EBITDA Margin increased in five of the last eight quarters, with an average year-over-year change of +4.47 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in Q3 2025 (a gain of 16.46 percentage points), and the weakest in Q2 2022 (a drop of 4.35 percentage points).
- Business Quant data shows SLBK's EBITDA Margin at 64.25% (Q1 2026), 65.47% (Q4 2025) and 65.67% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 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 | 63.86% |
| Mar 31, 2026 | 64.25% |
| Dec 31, 2025 | 65.47% |
| Sep 30, 2025 | 65.67% |
| Jun 30, 2025 | 65.22% |
| Mar 31, 2025 | 66.24% |
| Dec 31, 2024 | 56.62% |
| Sep 30, 2024 | 49.21% |
| Jun 30, 2024 | 57.75% |
| Mar 31, 2024 | 58.75% |
| Dec 31, 2023 | 56.53% |
| Sep 30, 2023 | 50.43% |
| Jun 30, 2023 | 53.69% |
| Mar 31, 2023 | 47.06% |
| Dec 31, 2022 | 43.24% |
| Sep 30, 2022 | 42.21% |
| Jun 30, 2022 | 38.40% |
| Mar 31, 2022 | 41.29% |
| Dec 31, 2021 | 40.27% |
| Sep 30, 2021 | 45.38% |
Skyline Bankshares EBITDA Margin 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-margin&ticker=SLBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=SLBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();