Juniata Valley Financial (JUVF) Operating Expenses (2010 - 2026)
Juniata Valley Financial (JUVF) posted Operating Expenses of $5.43 million for Q2 2026, up 7.1% from $5.07 million a year earlier and up 4.1% from the prior quarter.
Juniata Valley Financial (JUVF) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Juniata Valley Financial was $21.72 million, up 5.9% year-over-year; for FY2025, it was $20.83 million, down 0.9% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In prior years, Juniata Valley Financial's Operating Expenses was $21.01 million in FY2024 (+5.3%), $19.95 million in FY2023 (-7.4%), $21.53 million in FY2022 (+5.7%) and $20.37 million in FY2021 (+5.6%).
- Quarterly Operating Expenses has run from a low of $4.69 million in Q1 2025 to a high of $6.65 million in Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 4.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2021, with growth of 25.0%; the weakest was Q4 2023, with a decline of 25.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $5.21 million (Q1 2026), $5.64 million (Q4 2025) and $5.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 13.66 Bn |
| 10 | Juniata Valley Financial | 79.89 Mn | 74.45 Mn | - | 5.43 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.43 Mn |
| Mar 31, 2026 | 5.21 Mn |
| Dec 31, 2025 | 5.64 Mn |
| Sep 30, 2025 | 5.44 Mn |
| Jun 30, 2025 | 5.07 Mn |
| Mar 31, 2025 | 4.69 Mn |
| Dec 31, 2024 | 5.65 Mn |
| Sep 30, 2024 | 5.10 Mn |
| Jun 30, 2024 | 5.10 Mn |
| Mar 31, 2024 | 5.16 Mn |
| Dec 31, 2023 | 4.97 Mn |
| Sep 30, 2023 | 4.76 Mn |
| Jun 30, 2023 | 5.46 Mn |
| Mar 31, 2023 | 4.76 Mn |
| Dec 31, 2022 | 6.65 Mn |
| Sep 30, 2022 | 4.99 Mn |
| Jun 30, 2022 | 5.03 Mn |
| Mar 31, 2022 | 4.86 Mn |
| Dec 31, 2021 | 5.99 Mn |
| Sep 30, 2021 | 4.93 Mn |
Juniata Valley Financial Operating Expenses 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=operating-expenses&ticker=JUVF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=JUVF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();