Arrow Financial (AROW) Change in Cash (2010 - 2026)
Arrow Financial (AROW) posted Change in Cash of -$98.82 million for Q2 2026, compared with -$33 million a year earlier.
Arrow Financial (AROW) Change in Cash (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Cash at Arrow Financial was -$81.66 million; for FY2025, it came in at $59.64 million, up 396.6% from FY2024.
- Annual Change in Cash shows a five-year compound annual growth rate of -28.1% (FY2020 to FY2025).
- In prior years, Arrow Financial's Change in Cash was $12.01 million in FY2024 (-84.6%), $77.88 million in FY2023, -$393.04 million in FY2022 and $76.71 million in FY2021 (-75.3%).
- Quarterly Change in Cash has run from a low of -$308.77 million in Q4 2022 to a high of $156.18 million in Q3 2022 over five years.
- On a year-over-year basis, Change in Cash increased in two of the last four quarters, with an average decline of 9.7%.
- The strongest year-over-year quarter for Change in Cash in the past five years was Q1 2023, with growth of 364.5%; the weakest was Q1 2022, with a decline of 58.0%.
- According to Business Quant data, Change in Cash for the three prior quarters was $71.42 million (Q1 2026), -$183.25 million (Q4 2025) and $128.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -2.33 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | -12.73 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.61 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 3.44 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.74 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 28.19 Bn |
| 10 | Arrow Financial | 609.69 Mn | 609.69 Mn | - | -98.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -98.82 Mn |
| Mar 31, 2026 | 71.42 Mn |
| Dec 31, 2025 | -183.25 Mn |
| Sep 30, 2025 | 128.99 Mn |
| Jun 30, 2025 | -33.00 Mn |
| Mar 31, 2025 | 146.90 Mn |
| Dec 31, 2024 | -185.54 Mn |
| Sep 30, 2024 | 139.89 Mn |
| Jun 30, 2024 | -82.27 Mn |
| Mar 31, 2024 | 139.93 Mn |
| Dec 31, 2023 | -152.20 Mn |
| Sep 30, 2023 | 121.14 Mn |
| Jun 30, 2023 | -29.87 Mn |
| Mar 31, 2023 | 138.81 Mn |
| Dec 31, 2022 | -308.77 Mn |
| Sep 30, 2022 | 156.18 Mn |
| Jun 30, 2022 | -270.32 Mn |
| Mar 31, 2022 | 29.88 Mn |
| Dec 31, 2021 | -140.67 Mn |
| Sep 30, 2021 | 120.14 Mn |
Arrow Financial Change in Cash 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-cash&ticker=AROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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-cash&ticker=AROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();