Bogota Financial (BSBK) Total Non-Current Liabilities (2018 - 2026)
Bogota Financial (BSBK) recorded Total Non-Current Liabilities of $728.05 million in Q2 2026, down 6.4% from $777.98 million a year earlier and down 0.3% from the prior quarter.
Bogota Financial (BSBK) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Bogota Financial reported Total Non-Current Liabilities of $758.79 million, down 8.4% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $827.95 million in FY2024 (+4.0%), $795.77 million in FY2023 (-1.4%), $806.91 million in FY2022 (+17.7%) and $685.39 million in FY2021 (+12.6%).
- The Q2 2026 figure is the lowest quarterly Total Non-Current Liabilities since Q1 2022.
- On a year-over-year basis, Total Non-Current Liabilities has declined for six consecutive quarters, with an average decline of 3.5% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 17.7% in Q4 2022, against a decline of 8.4% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $730.56 million (Q1 2026), $758.79 million (Q4 2025) and $779.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Bogota Financial | 115.58 Mn | -9.09 Mn | - | 728.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 728.05 Mn |
| Mar 31, 2026 | 730.56 Mn |
| Dec 31, 2025 | 758.79 Mn |
| Sep 30, 2025 | 779.82 Mn |
| Jun 30, 2025 | 777.98 Mn |
| Mar 31, 2025 | 786.18 Mn |
| Dec 31, 2024 | 827.95 Mn |
| Sep 30, 2024 | 835.10 Mn |
| Jun 30, 2024 | 831.81 Mn |
| Mar 31, 2024 | 817.87 Mn |
| Dec 31, 2023 | 795.77 Mn |
| Sep 30, 2023 | 784.05 Mn |
| Jun 30, 2023 | 787.48 Mn |
| Mar 31, 2023 | 806.24 Mn |
| Dec 31, 2022 | 806.91 Mn |
| Sep 30, 2022 | 800.19 Mn |
| Jun 30, 2022 | 730.00 Mn |
| Mar 31, 2022 | 700.87 Mn |
| Dec 31, 2021 | 685.39 Mn |
| Sep 30, 2021 | 684.91 Mn |
Bogota Financial Total 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=total-non-current-liabilities&ticker=BSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "BSBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=BSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();