Juniata Valley Financial (JUVF) EBITDA (2014 - 2026)
Juniata Valley Financial (JUVF) posted EBITDA of $6.51 million for Q2 2026, up 12.0% from $5.81 million a year earlier but down 5.0% from the prior quarter.
Juniata Valley Financial (JUVF) EBITDA (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Juniata Valley Financial was $25.45 million, up 10.5% year-over-year; for FY2025, it was $23.86 million, up 7.4% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In prior years, Juniata Valley Financial's EBITDA was $22.21 million in FY2024 (+18.8%), $18.7 million in FY2023 (+62.9%), $11.48 million in FY2022 (+5.5%) and $10.88 million in FY2021 (+3.9%).
- Quarterly EBITDA has run from a low of $2.1 million in Q4 2022 to a high of $6.86 million in Q1 2026 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last 14 quarters, with growth averaging 9.3% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2023, with growth of 151.5%; the weakest was Q4 2021, with a decline of 12.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $6.86 million (Q1 2026), $6.01 million (Q4 2025) and $6.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Juniata Valley Financial | 79.89 Mn | 74.45 Mn | - | 6.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.51 Mn |
| Mar 31, 2026 | 6.86 Mn |
| Dec 31, 2025 | 6.01 Mn |
| Sep 30, 2025 | 6.07 Mn |
| Jun 30, 2025 | 5.81 Mn |
| Mar 31, 2025 | 5.96 Mn |
| Dec 31, 2024 | 5.46 Mn |
| Sep 30, 2024 | 5.80 Mn |
| Jun 30, 2024 | 5.78 Mn |
| Mar 31, 2024 | 5.18 Mn |
| Dec 31, 2023 | 5.27 Mn |
| Sep 30, 2023 | 5.11 Mn |
| Jun 30, 2023 | 4.19 Mn |
| Mar 31, 2023 | 4.12 Mn |
| Dec 31, 2022 | 2.10 Mn |
| Sep 30, 2022 | 3.27 Mn |
| Jun 30, 2022 | 3.03 Mn |
| Mar 31, 2022 | 3.09 Mn |
| Dec 31, 2021 | 2.21 Mn |
| Sep 30, 2021 | 3.02 Mn |
Juniata Valley Financial 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=JUVF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "JUVF", "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=JUVF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();