Bogota Financial (BSBK) Total Liabilities (2017 - 2026)
Bogota Financial (BSBK) reported Total Liabilities of $740.71 million for Q3 2026, down 5.7% from $785.12 million a year earlier but up 1.0% from the prior quarter.
Bogota Financial (BSBK) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Bogota Financial posted Total Liabilities of $764.04 million, down 8.4% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $834.2 million in FY2024 (+4.0%), $802.15 million in FY2023 (-1.1%), $811.44 million in FY2022 (+17.6%) and $689.79 million in FY2021 (+12.6%).
- Five-year quarterly Total Liabilities spans a low of $689.79 million in Q4 2021 and a high of $841.95 million in Q3 2024.
- Year over year, Total Liabilities has now declined in each of the last seven quarters, with an average decline of 5.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2022 (growth of 17.6%); the low point was Q4 2025 (a decline of 8.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $733.02 million (Q2 2026), $735.19 million (Q1 2026) and $764.04 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 4,719.18 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | 69.48 Bn |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 3,130.96 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 3,248.55 Bn |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 1,573.71 Bn |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 1,679.93 Bn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 2,055.50 Bn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 2,692.98 Bn |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 2,075.41 Bn |
| 10 | Bogota Financial | 118.26 Mn | 118.26 Mn | - | 740.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 740.71 Mn |
| Jun 30, 2026 | 733.02 Mn |
| Mar 31, 2026 | 735.19 Mn |
| Dec 31, 2025 | 764.04 Mn |
| Sep 30, 2025 | 785.12 Mn |
| Jun 30, 2025 | 783.39 Mn |
| Mar 31, 2025 | 791.94 Mn |
| Dec 31, 2024 | 834.20 Mn |
| Sep 30, 2024 | 841.95 Mn |
| Jun 30, 2024 | 838.41 Mn |
| Mar 31, 2024 | 824.42 Mn |
| Dec 31, 2023 | 802.15 Mn |
| Sep 30, 2023 | 789.38 Mn |
| Jun 30, 2023 | 791.80 Mn |
| Mar 31, 2023 | 811.20 Mn |
| Dec 31, 2022 | 811.44 Mn |
| Sep 30, 2022 | 805.09 Mn |
| Jun 30, 2022 | 734.48 Mn |
| Mar 31, 2022 | 705.66 Mn |
| Dec 31, 2021 | 689.79 Mn |
Bogota Financial Total 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-liabilities&ticker=BSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=BSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();