Bogota Financial (BSBK) Cash & Equivalents (2018 - 2026)
Bogota Financial (BSBK) recorded Cash & Equivalents of $29.9 million in Q2 2026, up 47.0% from $20.33 million a year earlier and up 7.1% from the prior quarter.
Bogota Financial (BSBK) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Bogota Financial reported Cash & Equivalents of $35.6 million, down 31.8% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -15.0% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $52.23 million in FY2024 (+109.5%), $24.93 million in FY2023 (+48.0%), $16.84 million in FY2022 (-84.0%) and $105.07 million in FY2021 (+30.7%).
- Quarterly Cash & Equivalents has ranged from $7.6 million in Q2 2022 to $116.33 million in Q3 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in six of the last eight quarters, with growth averaging 32.5%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 281.5% in Q2 2023, against a decline of 92.4% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.92 million (Q1 2026), $35.6 million (Q4 2025) and $31.25 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 229.75 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 227.80 Bn |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 160.14 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 45.78 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 187.27 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 4.86 Bn |
| 10 | Bogota Financial | 116.47 Mn | -8.20 Mn | - | 29.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.90 Mn |
| Mar 31, 2026 | 27.92 Mn |
| Dec 31, 2025 | 35.60 Mn |
| Sep 30, 2025 | 31.25 Mn |
| Jun 30, 2025 | 20.33 Mn |
| Mar 31, 2025 | 25.61 Mn |
| Dec 31, 2024 | 52.23 Mn |
| Sep 30, 2024 | 21.00 Mn |
| Jun 30, 2024 | 17.59 Mn |
| Mar 31, 2024 | 14.43 Mn |
| Dec 31, 2023 | 24.93 Mn |
| Sep 30, 2023 | 24.98 Mn |
| Jun 30, 2023 | 29.01 Mn |
| Mar 31, 2023 | 24.50 Mn |
| Dec 31, 2022 | 16.84 Mn |
| Sep 30, 2022 | 13.33 Mn |
| Jun 30, 2022 | 7.60 Mn |
| Mar 31, 2022 | 69.05 Mn |
| Dec 31, 2021 | 105.07 Mn |
| Sep 30, 2021 | 116.33 Mn |
Bogota Financial Cash & Equivalents 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=cash-and-equivalents&ticker=BSBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BSBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();