Financial Institutions Inc (FISI) EV to EBITDA (2011 - 2026)
Financial Institutions' EV to EBITDA was 2.89 in Q2 2026, down 38.3% from 4.68 a year earlier but up 24.1% from the prior quarter.
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Analysis
Financial Institutions Inc (FISI) EV to EBITDA (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Financial Institutions' EV to EBITDA was 1.25 through Jun 30, 2026, up 152.1% year-over-year; for FY2025, it came in at 2.17, down 46.1% from FY2024.
- In earlier years, EV to EBITDA was 4.02 in FY2024 (+278.0%), 1.06 in FY2023 (-69.4%), 3.47 in FY2022 (-20.1%) and 4.35 in FY2021 (-7.2%).
- Quarterly EV to EBITDA has moved between 1.06 (Q4 2023) and 4.68 (Q2 2025) over five years.
- Compared with a year earlier, EV to EBITDA has declined for three straight quarters, with growth averaging 81.1% over the last eight quarters.
- The best year-over-year quarter for EV to EBITDA over five years was Q4 2024 (growth of 278.0%); the worst was Q4 2023 (a decline of 69.4%).
- Per Business Quant data, FISI's EV to EBITDA in the three quarters before Q2 2026 was 2.33 (Q1 2026), 2.17 (Q4 2025) and 3.74 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.89 |
| Mar 31, 2026 | 2.33 |
| Dec 31, 2025 | 2.17 |
| Sep 30, 2025 | 3.74 |
| Jun 30, 2025 | 4.68 |
| Mar 31, 2025 | 3.25 |
| Dec 31, 2024 | 4.02 |
| Sep 30, 2024 | 1.79 |
| Jun 30, 2024 | 1.37 |
| Mar 31, 2024 | 1.49 |
| Dec 31, 2023 | 1.06 |
| Sep 30, 2023 | 1.53 |
| Jun 30, 2023 | 1.66 |
| Mar 31, 2023 | 2.51 |
| Dec 31, 2022 | 3.47 |
| Sep 30, 2022 | 3.50 |
| Jun 30, 2022 | 3.83 |
| Mar 31, 2022 | 4.21 |
| Dec 31, 2021 | 4.35 |
| Sep 30, 2021 | 4.39 |
API Access
Financial Institutions Inc 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=FISI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "FISI", "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=FISI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();