Norwood Financial (NWFL) Other Non-Current Liabilities (2010 - 2026)
Norwood Financial (NWFL) posted Other Non-Current Liabilities of $29.49 million for Q2 2026, up 53.1% from $19.27 million a year earlier and up 2.9% from the prior quarter.
Norwood Financial (NWFL) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Norwood Financial's Other Non-Current Liabilities came in at $17.77 million, up 2.6% from FY2024.
- Annual Other Non-Current Liabilities shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In prior years, Norwood Financial's Other Non-Current Liabilities was $17.31 million in FY2024 (+8.0%), $16.03 million in FY2023 (-2.2%), $16.39 million in FY2022 (+13.6%) and $14.43 million in FY2021 (+0.7%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last nine quarters, with growth averaging 18.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q1 2026, with growth of 55.5%; the weakest was Q3 2021, with a decline of 10.6%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $28.66 million (Q1 2026), $17.77 million (Q4 2025) and $21.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Norwood Financial | 360.20 Mn | 78.18 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.49 Mn |
| Mar 31, 2026 | 28.66 Mn |
| Dec 31, 2025 | 17.77 Mn |
| Sep 30, 2025 | 21.18 Mn |
| Jun 30, 2025 | 19.27 Mn |
| Mar 31, 2025 | 18.44 Mn |
| Dec 31, 2024 | 17.31 Mn |
| Sep 30, 2024 | 18.75 Mn |
| Jun 30, 2024 | 18.21 Mn |
| Mar 31, 2024 | 17.24 Mn |
| Dec 31, 2023 | 16.03 Mn |
| Sep 30, 2023 | 18.54 Mn |
| Jun 30, 2023 | 17.27 Mn |
| Mar 31, 2023 | 18.57 Mn |
| Dec 31, 2022 | 16.39 Mn |
| Sep 30, 2022 | 18.05 Mn |
| Jun 30, 2022 | 16.75 Mn |
| Mar 31, 2022 | 17.49 Mn |
| Dec 31, 2021 | 14.43 Mn |
| Sep 30, 2021 | 15.84 Mn |
Norwood Financial Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=NWFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();