John Marshall Bancorp (JMSB) Cash & Equivalents (2021 - 2026)
John Marshall Bancorp (JMSB) posted Cash & Equivalents of $159.03 million for Q2 2026, up 36.0% from $116.93 million a year earlier and up 5.9% from the prior quarter.
John Marshall Bancorp (JMSB) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, John Marshall Bancorp's Cash & Equivalents came in at $129.97 million, up 6.1% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a four-year compound annual growth rate of 5.3% (FY2021 to FY2025).
- In prior years, John Marshall Bancorp's Cash & Equivalents was $122.47 million in FY2024 (+23.7%), $99.01 million in FY2023 (+60.7%), $61.6 million in FY2022 (-41.8%) and $105.8 million in FY2021.
- Quarterly Cash & Equivalents has run from a low of $61.6 million in Q4 2022 to a high of $192.66 million in Q3 2023 over five years.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 1.7%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2023, with growth of 157.7%; the weakest was Q1 2023, with a decline of 43.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $150.19 million (Q1 2026), $129.97 million (Q4 2025) and $163.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | - |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 229.75 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | 29.08 Bn |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 160.14 Bn |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 46.00 Bn |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 187.27 Bn |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | - |
| 10 | John Marshall Bancorp | 323.17 Mn | -279.67 Mn | - | 159.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 159.03 Mn |
| Mar 31, 2026 | 150.19 Mn |
| Dec 31, 2025 | 129.97 Mn |
| Sep 30, 2025 | 163.65 Mn |
| Jun 30, 2025 | 116.93 Mn |
| Mar 31, 2025 | 169.06 Mn |
| Dec 31, 2024 | 122.47 Mn |
| Sep 30, 2024 | 177.23 Mn |
| Jun 30, 2024 | 182.61 Mn |
| Mar 31, 2024 | 153.02 Mn |
| Dec 31, 2023 | 99.01 Mn |
| Sep 30, 2023 | 192.66 Mn |
| Jun 30, 2023 | 129.55 Mn |
| Mar 31, 2023 | 103.36 Mn |
| Dec 31, 2022 | 61.60 Mn |
| Sep 30, 2022 | 74.76 Mn |
| Jun 30, 2022 | 120.89 Mn |
| Mar 31, 2022 | 182.36 Mn |
| Dec 31, 2021 | 105.80 Mn |
John Marshall Bancorp 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=JMSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "JMSB", "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=JMSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();