Arrow Financial (AROW) Cash from Operations (2010 - 2026)
Arrow Financial's Cash from Operations was $15.8 million in Q2 2026, up 53.7% from $10.28 million a year earlier and up 3.6% from the prior quarter.
Arrow Financial (AROW) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arrow Financial's Cash from Operations was $51.97 million through Jun 30, 2026, up 46.9% year-over-year; for FY2025, it came in at $41.28 million, up 19.8% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $34.47 million in FY2024 (+67.5%), $20.58 million in FY2023 (-65.5%), $59.71 million in FY2022 (-12.5%) and $68.21 million in FY2021 (+61.2%).
- The Q2 2026 figure marks the highest quarterly Cash from Operations since Q3 2022.
- Compared with a year earlier, Cash from Operations has increased for five straight quarters, with growth averaging 23.5% over the last seven quarters.
- The best year-over-year quarter for Cash from Operations over five years was Q3 2025 (growth of 59.5%); the worst was Q3 2023 (a decline of 36.1%).
- Per Business Quant data, AROW's Cash from Operations in the three quarters before Q2 2026 was $15.24 million (Q1 2026), $5.91 million (Q4 2025) and $15.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 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 | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Arrow Financial | 609.69 Mn | 609.69 Mn | - | 15.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.80 Mn |
| Mar 31, 2026 | 15.24 Mn |
| Dec 31, 2025 | 5.91 Mn |
| Sep 30, 2025 | 15.02 Mn |
| Jun 30, 2025 | 10.28 Mn |
| Mar 31, 2025 | 10.07 Mn |
| Dec 31, 2024 | 5.63 Mn |
| Sep 30, 2024 | 9.42 Mn |
| Jun 30, 2024 | 9.08 Mn |
| Mar 31, 2024 | 10.35 Mn |
| Dec 31, 2023 | -16.32 Mn |
| Sep 30, 2023 | 11.20 Mn |
| Jun 30, 2023 | 12.48 Mn |
| Mar 31, 2023 | 13.22 Mn |
| Dec 31, 2022 | 11.50 Mn |
| Sep 30, 2022 | 17.53 Mn |
| Jun 30, 2022 | 13.92 Mn |
| Mar 31, 2022 | 16.77 Mn |
| Dec 31, 2021 | 12.49 Mn |
| Sep 30, 2021 | 15.62 Mn |
Arrow Financial Cash from Operations 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=cash-from-operations&ticker=AROW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=AROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();