Banner (BANR) EBITDA (2010 - 2026)
Banner's EBITDA came in at $21.92 million for Q2 2026, down 2.0% from $22.38 million a year earlier and down 4.9% from the prior quarter.
Powered by 
Analysis
Banner (BANR) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Banner reported EBITDA of $89.55 million, down 5.3% year-over-year; for FY2025, it came in at $90.82 million, up 3.7% from FY2024.
- EBITDA carries a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- Going back by year, EBITDA was $87.61 million in FY2024 (+32.6%), $66.07 million in FY2023 (-32.2%), $97.47 million in FY2022 (-19.0%) and $120.33 million in FY2021 (-3.3%).
- The five-year range for quarterly EBITDA is $13.86 million (Q2 2023) to $32.73 million (Q2 2022).
- Year-over-year, EBITDA has declined for three consecutive quarters, with growth averaging 9.9% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q2 2024 (growth of 61.8%), and the weakest in Q2 2023 (a decline of 57.6%).
- Business Quant data shows BANR's EBITDA at $23.06 million (Q1 2026), $19.46 million (Q4 2025) and $25.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Banner | 2.29 Bn | 322.77 Mn | - | 21.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.92 Mn |
| Mar 31, 2026 | 23.06 Mn |
| Dec 31, 2025 | 19.46 Mn |
| Sep 30, 2025 | 25.12 Mn |
| Jun 30, 2025 | 22.38 Mn |
| Mar 31, 2025 | 23.87 Mn |
| Dec 31, 2024 | 25.11 Mn |
| Sep 30, 2024 | 23.18 Mn |
| Jun 30, 2024 | 22.44 Mn |
| Mar 31, 2024 | 16.88 Mn |
| Dec 31, 2023 | 19.50 Mn |
| Sep 30, 2023 | 18.01 Mn |
| Jun 30, 2023 | 13.86 Mn |
| Mar 31, 2023 | 14.69 Mn |
| Dec 31, 2022 | 18.62 Mn |
| Sep 30, 2022 | 21.09 Mn |
| Jun 30, 2022 | 32.73 Mn |
| Mar 31, 2022 | 25.02 Mn |
| Dec 31, 2021 | 30.32 Mn |
| Sep 30, 2021 | 31.27 Mn |
API Access
Banner 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=BANR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "BANR", "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=BANR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();