Banner (BANR) Cash from Operations (2010 - 2026)
Banner (BANR) recorded Cash from Operations of $39.03 million in Q2 2026, down 28.8% from $54.85 million a year earlier and down 64.5% from the prior quarter.
Banner (BANR) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, Banner's Cash from Operations came in at $294.25 million as of Jun 30, 2026, up 7.0% year-over-year; for FY2025, it was $257.46 million, down 12.2% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 15.5% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $293.19 million in FY2024 (+14.0%), $257.2 million in FY2023 (+8.0%), $238.05 million in FY2022 (-21.1%) and $301.58 million in FY2021 (+140.5%).
- Quarterly Cash from Operations has ranged from -$28.15 million in Q4 2021 to $120.43 million in Q3 2025 over the past five years.
- On a year-over-year basis, Cash from Operations rose in four of the last eight quarters, with growth averaging 11.7%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 319.9% in Q3 2022, against a decline of 91.8% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $109.84 million (Q1 2026), $24.95 million (Q4 2025) and $120.43 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 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 | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | Banner | 2.28 Bn | 306.79 Mn | - | 39.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.03 Mn |
| Mar 31, 2026 | 109.84 Mn |
| Dec 31, 2025 | 24.95 Mn |
| Sep 30, 2025 | 120.43 Mn |
| Jun 30, 2025 | 54.85 Mn |
| Mar 31, 2025 | 57.24 Mn |
| Dec 31, 2024 | 99.28 Mn |
| Sep 30, 2024 | 63.75 Mn |
| Jun 30, 2024 | 78.69 Mn |
| Mar 31, 2024 | 51.47 Mn |
| Dec 31, 2023 | 67.65 Mn |
| Sep 30, 2023 | 71.60 Mn |
| Jun 30, 2023 | 43.22 Mn |
| Mar 31, 2023 | 74.74 Mn |
| Dec 31, 2022 | 80.68 Mn |
| Sep 30, 2022 | 41.99 Mn |
| Jun 30, 2022 | 64.72 Mn |
| Mar 31, 2022 | 50.65 Mn |
| Dec 31, 2021 | -28.15 Mn |
| Sep 30, 2021 | 10.00 Mn |
Banner Cash from Operations 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=cash-from-operations&ticker=BANR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=BANR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();