Norwood Financial Corp (NWFL) EBT (2010 - 2026)
Norwood Financial's EBT came in at $11.63 million for Q2 2026, up 48.5% from $7.83 million a year earlier and up 141.3% from the prior quarter.
Norwood Financial Corp (NWFL) EBT (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Norwood Financial reported EBT of $36.35 million, up 829.1% year-over-year; for FY2025, it came in at $35.02 million.
- EBT carries a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Going back by year, EBT was -$258,000 in FY2024, $21.15 million in FY2023 (-41.9%), $36.39 million in FY2022 (+17.9%) and $30.86 million in FY2021 (+68.0%).
- The Q2 2026 figure represents the highest quarterly EBT in data going back to Q2 2010.
- Year-over-year, EBT increased in four of the last six quarters, with growth averaging 33.6%.
- The fastest year-over-year change in EBT over five years came in Q3 2025 (growth of 117.1%), and the weakest in Q4 2023 (a decline of 94.7%).
- Business Quant data shows NWFL's EBT at $4.82 million (Q1 2026), $9.37 million (Q4 2025) and $10.53 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.63 Mn |
| Mar 31, 2026 | 4.82 Mn |
| Dec 31, 2025 | 9.37 Mn |
| Sep 30, 2025 | 10.53 Mn |
| Jun 30, 2025 | 7.83 Mn |
| Mar 31, 2025 | 7.29 Mn |
| Dec 31, 2024 | -16.06 Mn |
| Sep 30, 2024 | 4.85 Mn |
| Jun 30, 2024 | 5.34 Mn |
| Mar 31, 2024 | 5.61 Mn |
| Dec 31, 2023 | 452,000.00 |
| Sep 30, 2023 | 5.19 Mn |
| Jun 30, 2023 | 8.24 Mn |
| Mar 31, 2023 | 7.27 Mn |
| Dec 31, 2022 | 8.58 Mn |
| Sep 30, 2022 | 10.21 Mn |
| Jun 30, 2022 | 8.61 Mn |
| Mar 31, 2022 | 8.98 Mn |
| Dec 31, 2021 | 8.03 Mn |
| Sep 30, 2021 | 8.78 Mn |
Norwood Financial Corp EBT 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=ebt&ticker=NWFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();