Banner (BANR) Amortizatization of Intangibles (2010 - 2026)
Banner's Amortizatization of Intangibles was $256,000 in Q2 2026, down 43.7% from $455,000 a year earlier and unchanged from the prior quarter.
Banner (BANR) Amortizatization of Intangibles (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Banner's Amortizatization of Intangibles was $1.17 million through Jun 30, 2026, down 44.1% year-over-year; for FY2025, it was $1.57 million, down 40.3% from FY2024.
- Amortizatization of Intangibles has now declined for six consecutive years, with a five-year compound annual growth rate of -27.3% (FY2020 to FY2025).
- In earlier years, Amortizatization of Intangibles was $2.63 million in FY2024 (-30.1%), $3.76 million in FY2023 (-28.9%), $5.28 million in FY2022 (-19.7%) and $6.57 million in FY2021 (-15.0%).
- Quarterly Amortizatization of Intangibles has moved between $256,000 (Q1 2026) and $1.58 million (Q3 2021) over five years.
- Compared with a year earlier, Amortizatization of Intangibles has declined for 26 straight quarters, with an average decline of 39.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Amortizatization of Intangibles ran from 15.5% in Q3 2021 to 46.5% in Q4 2025.
- Per Business Quant data, BANR's Amortizatization of Intangibles in the three quarters before Q2 2026 was $256,000 (Q1 2026), $315,000 (Q4 2025) and $341,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Banner | 2.31 Bn | 336.70 Mn | - | 256,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 256,000.00 |
| Mar 31, 2026 | 256,000.00 |
| Dec 31, 2025 | 315,000.00 |
| Sep 30, 2025 | 341,000.00 |
| Jun 30, 2025 | 455,000.00 |
| Mar 31, 2025 | 456,000.00 |
| Dec 31, 2024 | 589,000.00 |
| Sep 30, 2024 | 590,000.00 |
| Jun 30, 2024 | 724,000.00 |
| Mar 31, 2024 | 723,000.00 |
| Dec 31, 2023 | 858,000.00 |
| Sep 30, 2023 | 857,000.00 |
| Jun 30, 2023 | 991,000.00 |
| Mar 31, 2023 | 1.05 Mn |
| Dec 31, 2022 | 1.22 Mn |
| Sep 30, 2022 | 1.22 Mn |
| Jun 30, 2022 | 1.43 Mn |
| Mar 31, 2022 | 1.42 Mn |
| Dec 31, 2021 | 1.57 Mn |
| Sep 30, 2021 | 1.58 Mn |
Banner Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=BANR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=BANR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();