Norwood Financial (NWFL) Retained Earnings (2010 - 2026)
Norwood Financial's Retained Earnings came in at $146.69 million for Q2 2026, up 11.8% from $131.2 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Norwood Financial (NWFL) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Norwood Financial's Retained Earnings was $141.13 million, up 12.9% from FY2024.
- Retained Earnings carries a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- Going back by year, Retained Earnings was $124.96 million in FY2024 (-7.6%), $135.28 million in FY2023 (+4.0%), $130.02 million in FY2022 (+18.2%) and $110.02 million in FY2021 (+17.3%).
- The Q2 2026 figure represents the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year-over-year, Retained Earnings has increased for three consecutive quarters, with growth averaging 1.8% over the last eight quarters.
- The fastest year-over-year change in Retained Earnings over five years came in Q3 2022 (growth of 18.5%), and the weakest in Q4 2024 (a decline of 7.6%).
- Business Quant data shows NWFL's Retained Earnings at $140.84 million (Q1 2026), $141.13 million (Q4 2025) and $136.66 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 237.23 Bn |
| 10 | Norwood Financial | 363.48 Mn | 81.45 Mn | - | 146.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.69 Mn |
| Mar 31, 2026 | 140.84 Mn |
| Dec 31, 2025 | 141.13 Mn |
| Sep 30, 2025 | 136.66 Mn |
| Jun 30, 2025 | 131.20 Mn |
| Mar 31, 2025 | 127.87 Mn |
| Dec 31, 2024 | 124.96 Mn |
| Sep 30, 2024 | 140.49 Mn |
| Jun 30, 2024 | 139.07 Mn |
| Mar 31, 2024 | 137.29 Mn |
| Dec 31, 2023 | 135.28 Mn |
| Sep 30, 2023 | 137.36 Mn |
| Jun 30, 2023 | 135.58 Mn |
| Mar 31, 2023 | 131.42 Mn |
| Dec 31, 2022 | 130.02 Mn |
| Sep 30, 2022 | 125.24 Mn |
| Jun 30, 2022 | 119.41 Mn |
| Mar 31, 2022 | 114.85 Mn |
| Dec 31, 2021 | 110.02 Mn |
| Sep 30, 2021 | 105.67 Mn |
API Access
Norwood Financial Retained Earnings 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=retained-earnings&ticker=NWFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();