Norwood Financial (NWFL) Long-Term Debt Repayments (2010 - 2026)
Norwood Financial's Long-Term Debt Repayments was $22.79 million in Q2 2026, down 31.4% from $33.24 million a year earlier but up 76.0% from the prior quarter.
Norwood Financial (NWFL) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Norwood Financial's Long-Term Debt Repayments was $61.69 million through Jun 30, 2026, down 40.0% year-over-year; for FY2025, it was $82.39 million, down 0.1% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 28.0% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $82.44 million in FY2024 (+16.5%), $70.76 million in FY2023 (+135.9%), $30 million in FY2022 (+140.7%) and $12.46 million in FY2021 (-48.0%).
- Quarterly Long-Term Debt Repayments has moved between $3.09 million (Q2 2024) and $43.17 million (Q4 2024) over five years.
- Compared with a year earlier, Long-Term Debt Repayments has declined for three straight quarters, with growth averaging 157.3% over the last eight quarters.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q2 2025 (growth of 975.0%); the worst was Q3 2024 (a decline of 91.6%).
- Per Business Quant data, NWFL's Long-Term Debt Repayments in the three quarters before Q2 2026 was $12.95 million (Q1 2026), $12.67 million (Q4 2025) and $13.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 25.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 31.73 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 33.18 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 16.57 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 3.97 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Norwood Financial | 398.63 Mn | 118.80 Mn | - | 2.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.79 Mn |
| Jun 30, 2026 | 22.79 Mn |
| Mar 31, 2026 | 12.95 Mn |
| Dec 31, 2025 | 12.67 Mn |
| Sep 30, 2025 | 13.28 Mn |
| Jun 30, 2025 | 33.24 Mn |
| Mar 31, 2025 | 23.20 Mn |
| Dec 31, 2024 | 43.17 Mn |
| Sep 30, 2024 | 3.13 Mn |
| Jun 30, 2024 | 3.09 Mn |
| Mar 31, 2024 | 33.06 Mn |
| Dec 31, 2023 | 13.21 Mn |
| Sep 30, 2023 | 37.24 Mn |
| Jun 30, 2023 | 10.50 Mn |
| Mar 31, 2023 | 9.81 Mn |
| Sep 30, 2022 | 4.41 Mn |
| Jun 30, 2022 | 22.43 Mn |
| Mar 31, 2022 | 3.15 Mn |
| Dec 31, 2021 | 3.14 Mn |
| Sep 30, 2021 | 3.12 Mn |
Norwood Financial Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=NWFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();