Magnolia Bancorp (MGNO) Net Cash Flow (2023 - 2026)
Magnolia Bancorp's Net Cash Flow came in at -$1.25 million for Q2 2026, compared with -$915,000 a year earlier.
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Analysis
Magnolia Bancorp (MGNO) Net Cash Flow (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Magnolia Bancorp reported Net Cash Flow of -$274,000; for FY2025, it came in at -$5.43 million.
- Going back by year, Net Cash Flow was $8.23 million in FY2024 and -$1.89 million in FY2023.
- The Q2 2026 figure represents the lowest quarterly Net Cash Flow since Q1 2025.
- Business Quant data shows MGNO's Net Cash Flow at $625,000 (Q1 2026), $1.58 million (Q4 2025) and -$1.23 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -88.00 Mn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | -12.45 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 27.11 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 2.71 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 8.45 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 28.19 Bn |
| 10 | Magnolia Bancorp | 12.57 Mn | 12.57 Mn | - | -1.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.25 Mn |
| Mar 31, 2026 | 625,000.00 |
| Dec 31, 2025 | 1.58 Mn |
| Sep 30, 2025 | -1.23 Mn |
| Jun 30, 2025 | -915,000.00 |
| Mar 31, 2025 | -4.86 Mn |
| Dec 31, 2024 | 8.31 Mn |
| Sep 30, 2024 | 32,000.00 |
| Jun 30, 2024 | -141,000.00 |
| Mar 31, 2024 | 26,000.00 |
| Dec 31, 2023 | -2.26 Mn |
API Access
Magnolia Bancorp Net Cash Flow 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=net-cash-flow&ticker=MGNO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "ticker": "MGNO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-cash-flow&ticker=MGNO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();