Arrow Financial (AROW) Operating Expenses (2010 - 2026)
Arrow Financial's Operating Expenses came in at $27.46 million for Q2 2026, up 7.1% from $25.65 million a year earlier and up 2.2% from the prior quarter.
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Analysis
Arrow Financial (AROW) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Arrow Financial reported Operating Expenses of $105.57 million, up 3.9% year-over-year; for FY2025, it came in at $102.93 million, up 5.8% from FY2024.
- Operating Expenses has increased in each of the last 16 years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $97.27 million in FY2024 (+4.5%), $93.05 million in FY2023 (+14.1%), $81.53 million in FY2022 (+4.5%) and $78.05 million in FY2021 (+10.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q2 2010.
- Year-over-year, Operating Expenses increased in seven of the last eight quarters, with growth averaging 6.0%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2023 (growth of 18.4%), and the weakest in Q2 2024 (a decline of 3.2%).
- Business Quant data shows AROW's Operating Expenses at $26.87 million (Q1 2026), $25.8 million (Q4 2025) and $25.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Arrow Financial | 625.24 Mn | 625.24 Mn | - | 27.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.46 Mn |
| Mar 31, 2026 | 26.87 Mn |
| Dec 31, 2025 | 25.80 Mn |
| Sep 30, 2025 | 25.43 Mn |
| Jun 30, 2025 | 25.65 Mn |
| Mar 31, 2025 | 26.05 Mn |
| Dec 31, 2024 | 25.84 Mn |
| Sep 30, 2024 | 24.10 Mn |
| Jun 30, 2024 | 23.32 Mn |
| Mar 31, 2024 | 24.01 Mn |
| Dec 31, 2023 | 23.19 Mn |
| Sep 30, 2023 | 23.48 Mn |
| Jun 30, 2023 | 24.08 Mn |
| Mar 31, 2023 | 22.30 Mn |
| Dec 31, 2022 | 20.79 Mn |
| Sep 30, 2022 | 21.45 Mn |
| Jun 30, 2022 | 20.35 Mn |
| Mar 31, 2022 | 18.95 Mn |
| Dec 31, 2021 | 20.86 Mn |
| Sep 30, 2021 | 19.42 Mn |
API Access
Arrow 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=AROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AROW", "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=AROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();