Seacoast Banking Corp Of Florida (SBCF) EV to EBITDA (2011 - 2026)
Seacoast Banking Corp Of Florida's EV to EBITDA was 5.38 in Q2 2026, up 23.2% from 4.37 a year earlier and up 22.2% from the prior quarter.
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Analysis
Seacoast Banking Corp Of Florida (SBCF) EV to EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seacoast Banking Corp Of Florida's EV to EBITDA was 2.48 through Jun 30, 2026, up 171.6% year-over-year; for FY2025, it was 5.61, up 36.8% from FY2024.
- In earlier years, EV to EBITDA was 4.10 in FY2024 (-28.4%), 5.73 in FY2023 (-55.2%), 12.81 in FY2022 (+65.8%) and 7.73 in FY2021 (-17.3%).
- Quarterly EV to EBITDA has moved between 2.93 (Q2 2024) and 12.81 (Q4 2022) over five years.
- Compared with a year earlier, EV to EBITDA has increased for six straight quarters, with growth averaging 15.8% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was Q2 2022 (growth of 178.6%); the worst was Q3 2023 (a decline of 57.5%).
- Per Business Quant data, SBCF's EV to EBITDA in the three quarters before Q2 2026 was 4.40 (Q1 2026), 5.61 (Q4 2025) and 5.07 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.38 |
| Mar 31, 2026 | 4.40 |
| Dec 31, 2025 | 5.61 |
| Sep 30, 2025 | 5.07 |
| Jun 30, 2025 | 4.37 |
| Mar 31, 2025 | 3.70 |
| Dec 31, 2024 | 4.10 |
| Sep 30, 2024 | 3.66 |
| Jun 30, 2024 | 2.93 |
| Mar 31, 2024 | 3.63 |
| Dec 31, 2023 | 5.73 |
| Sep 30, 2023 | 4.22 |
| Jun 30, 2023 | 5.29 |
| Mar 31, 2023 | 7.04 |
| Dec 31, 2022 | 12.81 |
| Sep 30, 2022 | 9.92 |
| Jun 30, 2022 | 7.25 |
| Mar 31, 2022 | 5.99 |
| Dec 31, 2021 | 7.73 |
| Sep 30, 2021 | 4.43 |
API Access
Seacoast Banking Corp Of Florida EV to 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=ev-to-ebitda&ticker=SBCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "SBCF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=SBCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();