Northwest Bancshares (NWBI) Provision for Losses (2009 - 2026)
Northwest Bancshares' Provision for Losses came in at $6.64 million for Q2 2026, down 24.1% from $8.74 million a year earlier but up 51.9% from the prior quarter.
Northwest Bancshares (NWBI) Provision for Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Northwest Bancshares reported Provision for Losses of $49.93 million, up 31.1% year-over-year; for FY2025, it was $55.58 million, up 126.8% from FY2024.
- Provision for Losses carries a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- Going back by year, Provision for Losses was $24.51 million in FY2024 (+7.1%), $22.87 million in FY2023 (-19.2%), $28.32 million in FY2022 and -$15.79 million in FY2021.
- The five-year range for quarterly Provision for Losses is -$5.81 million (Q4 2021) to $31.21 million (Q3 2025).
- Year-over-year, Provision for Losses has declined for three consecutive quarters, with growth averaging 149.0% over the last seven quarters.
- The fastest year-over-year change in Provision for Losses over five years came in Q2 2023 (growth of 764.5%), and the weakest in Q3 2023 (a decline of 87.0%).
- Business Quant data shows NWBI's Provision for Losses at $4.37 million (Q1 2026), $7.72 million (Q4 2025) and $31.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Northwest Bancshares | 4.49 Bn | -5.99 Bn | - | 9.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.12 Mn |
| Jun 30, 2026 | 6.64 Mn |
| Mar 31, 2026 | 4.37 Mn |
| Dec 31, 2025 | 7.72 Mn |
| Sep 30, 2025 | 31.21 Mn |
| Jun 30, 2025 | 8.74 Mn |
| Mar 31, 2025 | 7.91 Mn |
| Dec 31, 2024 | 16.57 Mn |
| Sep 30, 2024 | 4.88 Mn |
| Jun 30, 2024 | -370,000.00 |
| Mar 31, 2024 | 3.44 Mn |
| Dec 31, 2023 | 7.95 Mn |
| Sep 30, 2023 | 1.00 Mn |
| Jun 30, 2023 | 8.93 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 19.48 Mn |
| Sep 30, 2022 | 7.69 Mn |
| Jun 30, 2022 | 1.03 Mn |
| Mar 31, 2022 | 115,000.00 |
| Dec 31, 2021 | -5.81 Mn |
Northwest Bancshares Provision for Losses 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=provision-for-losses&ticker=NWBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "ticker": "NWBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=provision-for-losses&ticker=NWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();