Banner (BANR) Provisions (2010 - 2026)
Banner (BANR) recorded Provisions of $3.82 million in Q2 2026, down 20.4% from $4.8 million a year earlier but up 195.5% from the prior quarter.
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Analysis
Banner (BANR) Provisions (2010 - 2026) Analysis & Trends
On a TTM basis, Banner's Provisions came in at $10.22 million as of Jun 30, 2026, down 28.6% year-over-year; for FY2025, it came in at $13.05 million, up 52.3% from FY2024.
- Annual Provisions has a five-year compound annual growth rate of -28.1% (FY2020 to FY2025).
- Across earlier years, Provisions came in at $8.56 million in FY2024 (-22.8%), $11.1 million in FY2023 (+7.1%), $10.36 million in FY2022 and -$33.39 million in FY2021.
- Quarterly Provisions has ranged from -$8.85 million in Q3 2021 to $6.76 million in Q2 2023 over the past five years.
- On a year-over-year basis, Provisions has declined for three consecutive quarters, with growth averaging 29.1% over the last eight quarters.
- Peak year-over-year performance for Provisions in the last five years was growth of 219.5% in Q1 2025, against a decline of 71.6% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.29 million (Q1 2026), $2.44 million (Q4 2025) and $2.67 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 914.00 Mn |
| 10 | Banner | 2.29 Bn | 322.77 Mn | - | 3.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.82 Mn |
| Mar 31, 2026 | 1.29 Mn |
| Dec 31, 2025 | 2.44 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Jun 30, 2025 | 4.80 Mn |
| Mar 31, 2025 | 4.55 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Sep 30, 2024 | 1.97 Mn |
| Jun 30, 2024 | 2.37 Mn |
| Mar 31, 2024 | 1.42 Mn |
| Dec 31, 2023 | 2.52 Mn |
| Sep 30, 2023 | 2.94 Mn |
| Jun 30, 2023 | 6.76 Mn |
| Mar 31, 2023 | 774,000.00 |
| Dec 31, 2022 | 6.70 Mn |
| Sep 30, 2022 | 6.35 Mn |
| Jun 30, 2022 | 4.53 Mn |
| Mar 31, 2022 | -7.38 Mn |
| Dec 31, 2021 | -4.97 Mn |
| Sep 30, 2021 | -8.85 Mn |
API Access
Banner Provisions 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=provisions&ticker=BANR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=BANR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();