Arrow Financial (AROW) Change in Net Loans (2009 - 2026)
Arrow Financial (AROW) reported Change in Net Loans of $58.8 million for Q2 2026, up 175.8% from $21.32 million a year earlier.
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Analysis
Arrow Financial (AROW) Change in Net Loans (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Arrow Financial's Change in Net Loans came in at $81.86 million, down 31.8% year-over-year; for FY2025, it came in at $75.17 million, down 59.9% from FY2024.
- Change in Net Loans has declined for three consecutive years, with a five-year compound annual growth rate of -17.8% (FY2020 to FY2025).
- By year, Change in Net Loans came in at $187.51 million in FY2024 (-18.1%), $228.9 million in FY2023 (-28.4%), $319.55 million in FY2022 (+275.4%) and $85.12 million in FY2021 (-57.6%).
- The Q2 2026 figure ranks as the highest quarterly Change in Net Loans since Q4 2024.
- Year over year, Change in Net Loans gained in two of the last seven quarters, with an average decline of 14.2%.
- The high point for year-over-year Change in Net Loans in five years was Q3 2022 (growth of 667.2%); the low point was Q4 2025 (a decline of 79.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$9.62 million (Q1 2026), $12.06 million (Q4 2025) and $20.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 56.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 8.09 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 14.56 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 20.45 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Arrow Financial | 23.90 Mn | 650,935.35 | - | 63.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 63.31 Mn |
| Jun 30, 2026 | 58.80 Mn |
| Mar 31, 2026 | -9.62 Mn |
| Dec 31, 2025 | 12.06 Mn |
| Sep 30, 2025 | 20.62 Mn |
| Jun 30, 2025 | 21.32 Mn |
| Mar 31, 2025 | 21.17 Mn |
| Dec 31, 2024 | 59.62 Mn |
| Sep 30, 2024 | 17.90 Mn |
| Jun 30, 2024 | 58.64 Mn |
| Mar 31, 2024 | 51.35 Mn |
| Dec 31, 2023 | 69.38 Mn |
| Sep 30, 2023 | 69.88 Mn |
| Jun 30, 2023 | 66.16 Mn |
| Mar 31, 2023 | 23.48 Mn |
| Dec 31, 2022 | 59.37 Mn |
| Sep 30, 2022 | 81.44 Mn |
| Jun 30, 2022 | 108.30 Mn |
| Mar 31, 2022 | 70.44 Mn |
| Dec 31, 2021 | 14.73 Mn |
API Access
Arrow Financial Change in Net Loans 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=change-in-net-loans&ticker=AROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=AROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();