Norwood Financial (NWFL) Cash & Equivalents (2010 - 2026)
Norwood Financial's Cash & Equivalents was $60.29 million in Q2 2026, up 13.7% from $53.05 million a year earlier but down 41.2% from the prior quarter.
Norwood Financial (NWFL) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Norwood Financial came in at $44.44 million, down 38.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -16.8% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $72.34 million in FY2024 (+9.4%), $66.12 million in FY2023 (+107.5%), $31.87 million in FY2022 (-84.6%) and $206.68 million in FY2021 (+85.0%).
- Quarterly Cash & Equivalents has moved between $29.02 million (Q1 2023) and $219.93 million (Q3 2021) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in four of the last eight quarters, with growth averaging 0.9%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2024 (growth of 285.9%); the worst was Q4 2022 (a decline of 84.6%).
- Per Business Quant data, NWFL's Cash & Equivalents in the three quarters before Q2 2026 was $102.57 million (Q1 2026), $44.44 million (Q4 2025) and $74.73 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Norwood Financial | 367.40 Mn | 85.37 Mn | - | 60.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.29 Mn |
| Mar 31, 2026 | 102.57 Mn |
| Dec 31, 2025 | 44.44 Mn |
| Sep 30, 2025 | 74.73 Mn |
| Jun 30, 2025 | 53.05 Mn |
| Mar 31, 2025 | 75.41 Mn |
| Dec 31, 2024 | 72.34 Mn |
| Sep 30, 2024 | 82.88 Mn |
| Jun 30, 2024 | 69.40 Mn |
| Mar 31, 2024 | 111.96 Mn |
| Dec 31, 2023 | 66.12 Mn |
| Sep 30, 2023 | 54.15 Mn |
| Jun 30, 2023 | 33.09 Mn |
| Mar 31, 2023 | 29.02 Mn |
| Dec 31, 2022 | 31.87 Mn |
| Sep 30, 2022 | 40.88 Mn |
| Jun 30, 2022 | 109.67 Mn |
| Mar 31, 2022 | 166.03 Mn |
| Dec 31, 2021 | 206.68 Mn |
| Sep 30, 2021 | 219.93 Mn |
Norwood Financial Cash & Equivalents 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-and-equivalents&ticker=NWFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();