Norwood Financial (NWFL) Cash from Operations (2010 - 2026)
Norwood Financial's Cash from Operations was $8.91 million in Q2 2026, up 31.8% from $6.76 million a year earlier and up 48.5% from the prior quarter.
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Analysis
Norwood Financial (NWFL) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Norwood Financial's Cash from Operations was $33.02 million through Jun 30, 2026, up 30.5% year-over-year; for FY2025, it came in at $33.97 million, up 48.9% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of 19.7% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $22.81 million in FY2024 (-23.5%), $29.82 million in FY2023 (-3.0%), $30.73 million in FY2022 (+5.3%) and $29.2 million in FY2021 (+111.6%).
- Quarterly Cash from Operations has moved between $4.25 million (Q1 2024) and $10.11 million (Q1 2023) over five years.
- Compared with a year earlier, Cash from Operations was higher in four of the last eight quarters, with growth averaging 26.1%.
- The best year-over-year quarter for Cash from Operations over five years was Q1 2025 (growth of 114.0%); the worst was Q1 2024 (a decline of 57.9%).
- Per Business Quant data, NWFL's Cash from Operations in the three quarters before Q2 2026 was $6 million (Q1 2026), $8.78 million (Q4 2025) and $9.34 million (Q3 2025).
Peer Set
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 | Norwood Financial | 360.20 Mn | 78.18 Mn | - | 8.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.91 Mn |
| Mar 31, 2026 | 6.00 Mn |
| Dec 31, 2025 | 8.78 Mn |
| Sep 30, 2025 | 9.34 Mn |
| Jun 30, 2025 | 6.76 Mn |
| Mar 31, 2025 | 9.10 Mn |
| Dec 31, 2024 | 4.81 Mn |
| Sep 30, 2024 | 4.65 Mn |
| Jun 30, 2024 | 9.11 Mn |
| Mar 31, 2024 | 4.25 Mn |
| Dec 31, 2023 | 6.72 Mn |
| Sep 30, 2023 | 6.88 Mn |
| Jun 30, 2023 | 6.12 Mn |
| Mar 31, 2023 | 10.11 Mn |
| Dec 31, 2022 | 6.35 Mn |
| Sep 30, 2022 | 8.92 Mn |
| Jun 30, 2022 | 6.08 Mn |
| Mar 31, 2022 | 9.39 Mn |
| Dec 31, 2021 | 6.20 Mn |
| Sep 30, 2021 | 8.17 Mn |
API Access
Norwood 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=NWFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "NWFL", "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=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();