Norwood Financial (NWFL) EBITDA (2010 - 2026)
Norwood Financial's EBITDA was $25.85 million in Q2 2026, up 27.1% from $20.33 million a year earlier and up 34.3% from the prior quarter.
Norwood Financial (NWFL) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Norwood Financial's EBITDA was $89.61 million through Jun 30, 2026, up 62.7% year-over-year; for FY2025, it was $84.69 million, up 64.4% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 25.0% (FY2020 to FY2025).
- In earlier years, EBITDA was $51.51 million in FY2024 (-8.2%), $56.08 million in FY2023 (+24.0%), $45.23 million in FY2022 (+18.3%) and $38.22 million in FY2021 (+37.6%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2010.
- Compared with a year earlier, EBITDA was higher in five of the last six quarters, with growth averaging 14.9%.
- The best year-over-year quarter for EBITDA over five years was Q2 2023 (growth of 58.7%); the worst was Q4 2023 (a decline of 4.4%).
- Per Business Quant data, NWFL's EBITDA in the three quarters before Q2 2026 was $19.25 million (Q1 2026), $21.88 million (Q4 2025) and $22.64 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Norwood Financial | 363.48 Mn | 81.45 Mn | - | 25.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.85 Mn |
| Mar 31, 2026 | 19.25 Mn |
| Dec 31, 2025 | 21.88 Mn |
| Sep 30, 2025 | 22.64 Mn |
| Jun 30, 2025 | 20.33 Mn |
| Mar 31, 2025 | 19.85 Mn |
| Dec 31, 2024 | -2.87 Mn |
| Sep 30, 2024 | 17.76 Mn |
| Jun 30, 2024 | 18.43 Mn |
| Mar 31, 2024 | 18.19 Mn |
| Dec 31, 2023 | 11.60 Mn |
| Sep 30, 2023 | 15.01 Mn |
| Jun 30, 2023 | 16.21 Mn |
| Mar 31, 2023 | 13.27 Mn |
| Dec 31, 2022 | 12.13 Mn |
| Sep 30, 2022 | 12.26 Mn |
| Jun 30, 2022 | 10.21 Mn |
| Mar 31, 2022 | 10.63 Mn |
| Dec 31, 2021 | 9.77 Mn |
| Sep 30, 2021 | 10.58 Mn |
Norwood Financial EBITDA 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=ebitda&ticker=NWFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();