Northwest Bancshares (NWBI) EBITDA (2011 - 2026)
Northwest Bancshares (NWBI) recorded EBITDA of $125.9 million in Q2 2026, up 29.4% from $97.29 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Northwest Bancshares (NWBI) EBITDA (2011 - 2026) Analysis & Trends
On a TTM basis, Northwest Bancshares' EBITDA came in at $430.29 million as of Jun 30, 2026, up 2.4% year-over-year; for FY2025, it was $387.19 million, up 0.7% from FY2024.
- Annual EBITDA has increased for three straight years, with a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $384.5 million in FY2024 (+9.3%), $351.81 million in FY2023 (+68.9%), $208.26 million in FY2022 (-11.4%) and $235 million in FY2021 (+68.3%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q1 2011.
- On a year-over-year basis, EBITDA has increased for three consecutive quarters, with growth averaging 9.3% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 80.9% in Q3 2023, against a decline of 43.8% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $124.38 million (Q1 2026), $117.79 million (Q4 2025) and $62.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 20.89 Bn |
| 10 | Northwest Bancshares | 4.34 Bn | -5.80 Bn | - | 125.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 125.90 Mn |
| Mar 31, 2026 | 124.38 Mn |
| Dec 31, 2025 | 117.79 Mn |
| Sep 30, 2025 | 62.22 Mn |
| Jun 30, 2025 | 97.29 Mn |
| Mar 31, 2025 | 109.90 Mn |
| Dec 31, 2024 | 102.12 Mn |
| Sep 30, 2024 | 110.71 Mn |
| Jun 30, 2024 | 72.28 Mn |
| Mar 31, 2024 | 99.39 Mn |
| Dec 31, 2023 | 95.96 Mn |
| Sep 30, 2023 | 101.59 Mn |
| Jun 30, 2023 | 85.65 Mn |
| Mar 31, 2023 | 68.62 Mn |
| Dec 31, 2022 | 58.61 Mn |
| Sep 30, 2022 | 56.17 Mn |
| Jun 30, 2022 | 48.17 Mn |
| Mar 31, 2022 | 45.31 Mn |
| Dec 31, 2021 | 52.49 Mn |
| Sep 30, 2021 | 49.12 Mn |
API Access
Northwest Bancshares 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=NWBI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=NWBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();