Banner (BANR) Other Non-Current Liabilities (2010 - 2026)
Banner's Other Non-Current Liabilities came in at $48.3 million for Q2 2026, up 3.1% from $46.85 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Banner (BANR) Other Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Banner's Other Non-Current Liabilities was $47.16 million, up 0.9% from FY2024.
- Other Non-Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $46.76 million in FY2024 (+1.7%), $45.98 million in FY2023 (+3.8%), $44.29 million in FY2022 (-5.1%) and $46.68 million in FY2021 (+2.7%).
- The Q2 2026 figure represents the highest quarterly Other Non-Current Liabilities in data going back to Q4 2010.
- Year-over-year, Other Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 1.6% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q4 2023 (growth of 3.8%), and the weakest in Q3 2022 (a decline of 5.5%).
- Business Quant data shows BANR's Other Non-Current Liabilities at $46.99 million (Q1 2026), $47.16 million (Q4 2025) and $47.18 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Banner | 2.28 Bn | 306.79 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.30 Mn |
| Mar 31, 2026 | 46.99 Mn |
| Dec 31, 2025 | 47.16 Mn |
| Sep 30, 2025 | 47.18 Mn |
| Jun 30, 2025 | 46.85 Mn |
| Mar 31, 2025 | 46.17 Mn |
| Dec 31, 2024 | 46.76 Mn |
| Sep 30, 2024 | 46.40 Mn |
| Jun 30, 2024 | 46.25 Mn |
| Mar 31, 2024 | 46.52 Mn |
| Dec 31, 2023 | 45.98 Mn |
| Sep 30, 2023 | 45.13 Mn |
| Jun 30, 2023 | 45.47 Mn |
| Mar 31, 2023 | 45.30 Mn |
| Dec 31, 2022 | 44.29 Mn |
| Sep 30, 2022 | 43.93 Mn |
| Jun 30, 2022 | 44.34 Mn |
| Mar 31, 2022 | 46.64 Mn |
| Dec 31, 2021 | 46.68 Mn |
| Sep 30, 2021 | 46.49 Mn |
API Access
Banner Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=BANR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=BANR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();