Bogota Financial (BSBK) Provision for Losses (2019 - 2026)
Bogota Financial's Provision for Losses came in at $50,000 for Q1 2026, compared with -$80,000 a year earlier.
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Analysis
Bogota Financial (BSBK) Provision for Losses (2019 - 2026) Analysis & Trends
For FY2025, Bogota Financial's Provision for Losses was -$130,000.
- Going back by year, Provision for Losses was -$148,000 in FY2024, -$125,000 in FY2023, $425,000 in FY2022 and -$88,000 in FY2021.
- The Q1 2026 figure represents the highest quarterly Provision for Losses since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | - |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 368.00 Mn |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | - |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 1.03 Bn |
| 10 | Bogota Financial | 118.26 Mn | 118.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 50,000.00 |
| Sep 30, 2025 | -50,000.00 |
| Mar 31, 2025 | -80,000.00 |
| Dec 31, 2024 | -218,000.00 |
| Jun 30, 2024 | 35,000.00 |
| Mar 31, 2024 | 35,000.00 |
| Jun 30, 2023 | -125,000.00 |
| Dec 31, 2022 | 150,000.00 |
| Sep 30, 2022 | 175,000.00 |
| Jun 30, 2022 | 100,000.00 |
| Mar 31, 2022 | -17,400.00 |
| Sep 30, 2021 | 25,000.00 |
| Jun 30, 2021 | -54,000.00 |
| Mar 31, 2021 | -59,000.00 |
| Dec 31, 2020 | -75,000.00 |
| Sep 30, 2020 | 25,000.00 |
| Jun 30, 2020 | 225,000.00 |
| Mar 31, 2020 | 25,000.00 |
| Dec 31, 2019 | -50,000.00 |
| Sep 30, 2019 | -38,000.00 |
API Access
Bogota Financial Provision for Losses 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=provision-for-losses&ticker=BSBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=BSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();