Norwood Financial Corp (NWFL) Loans - Gross (2010 - 2026)
Norwood Financial's Loans - Gross was $2.26 billion in Q2 2026, up 26.4% from $1.79 billion a year earlier and up 1.1% from the prior quarter.
Analysis
Norwood Financial Corp (NWFL) Loans - Gross (2010 - 2026) Analysis & Trends
At the end of FY2025, Loans - Gross at Norwood Financial came in at $1.85 billion, up 8.2% from FY2024.
- Loans - Gross has now increased for four consecutive years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- In earlier years, Loans - Gross was $1.71 billion in FY2024 (+6.9%), $1.6 billion in FY2023 (+8.8%), $1.47 billion in FY2022 (+8.8%) and $1.35 billion in FY2021 (-4.0%).
- The Q2 2026 figure marks the highest quarterly Loans - Gross in data going back to Q4 2010.
- Compared with a year earlier, Loans - Gross has increased for 17 straight quarters, with growth averaging 12.3% over the last eight quarters.
- The best year-over-year quarter for Loans - Gross over five years was Q1 2026 (growth of 26.4%); the worst was Q4 2021 (a decline of 4.0%).
- Per Business Quant data, NWFL's Loans - Gross in the three quarters before Q2 2026 was $2.24 billion (Q1 2026), $1.85 billion (Q4 2025) and $1.81 billion (Q3 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.26 Bn |
| Mar 31, 2026 | 2.24 Bn |
| Dec 31, 2025 | 1.85 Bn |
| Sep 30, 2025 | 1.81 Bn |
| Jun 30, 2025 | 1.79 Bn |
| Mar 31, 2025 | 1.77 Bn |
| Dec 31, 2024 | 1.71 Bn |
| Sep 30, 2024 | 1.68 Bn |
| Jun 30, 2024 | 1.64 Bn |
| Mar 31, 2024 | 1.62 Bn |
| Dec 31, 2023 | 1.60 Bn |
| Sep 30, 2023 | 1.61 Bn |
| Jun 30, 2023 | 1.58 Bn |
| Mar 31, 2023 | 1.54 Bn |
| Dec 31, 2022 | 1.47 Bn |
| Sep 30, 2022 | 1.43 Bn |
| Jun 30, 2022 | 1.41 Bn |
| Mar 31, 2022 | 1.37 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Sep 30, 2021 | 1.37 Bn |
API Access
Norwood Financial Corp Loans - Gross 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=loans-gross&ticker=NWFL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-gross", "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=loans-gross&ticker=NWFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();