Norwood Financial (NWFL) Total Liabilities (2010 - 2026)
Norwood Financial's Total Liabilities was $2.62 billion in Q2 2026, up 22.4% from $2.14 billion a year earlier but down 0.6% from the prior quarter.
Norwood Financial (NWFL) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Norwood Financial came in at $2.18 billion, up 3.7% from FY2024.
- Total Liabilities has now increased for 11 consecutive years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $2.1 billion in FY2024 (+4.2%), $2.02 billion in FY2023 (+7.4%), $1.88 billion in FY2022 (+0.9%) and $1.86 billion in FY2021 (+12.4%).
- Quarterly Total Liabilities has moved between $1.85 billion (Q3 2021) and $2.63 billion (Q1 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for 46 straight quarters, with growth averaging 8.5% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 0.5% (Q3 2022) and 22.4% (Q2 2026) over the last five years.
- Per Business Quant data, NWFL's Total Liabilities in the three quarters before Q2 2026 was $2.63 billion (Q1 2026), $2.18 billion (Q4 2025) and $2.18 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 2,099.88 Bn |
| 10 | Norwood Financial | 363.48 Mn | 81.45 Mn | - | 2.62 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.62 Bn |
| Mar 31, 2026 | 2.63 Bn |
| Dec 31, 2025 | 2.18 Bn |
| Sep 30, 2025 | 2.18 Bn |
| Jun 30, 2025 | 2.14 Bn |
| Mar 31, 2025 | 2.16 Bn |
| Dec 31, 2024 | 2.10 Bn |
| Sep 30, 2024 | 2.08 Bn |
| Jun 30, 2024 | 2.05 Bn |
| Mar 31, 2024 | 2.08 Bn |
| Dec 31, 2023 | 2.02 Bn |
| Sep 30, 2023 | 2.02 Bn |
| Jun 30, 2023 | 1.97 Bn |
| Mar 31, 2023 | 1.93 Bn |
| Dec 31, 2022 | 1.88 Bn |
| Sep 30, 2022 | 1.86 Bn |
| Jun 30, 2022 | 1.89 Bn |
| Mar 31, 2022 | 1.89 Bn |
| Dec 31, 2021 | 1.86 Bn |
| Sep 30, 2021 | 1.85 Bn |
Norwood Financial Total 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=total-liabilities&ticker=NWFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();