Flag Ship Acquisition (FSHP) Accumulated Expenses (2024 - 2026)
Flag Ship Acquisition (FSHP) posted Accumulated Expenses of $65,449 for Q2 2026, up 648.7% from $8,742 a year earlier but down 37.7% from the prior quarter.
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Analysis
Flag Ship Acquisition (FSHP) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Flag Ship Acquisition's Accumulated Expenses came in at $17,124, down 50.2% from FY2024.
- In prior years, Flag Ship Acquisition's Accumulated Expenses was $34,370 in FY2024.
- Quarterly Accumulated Expenses has run from a low of $8,192 in Q1 2025 to a high of $104,994 in Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses increased in two of the last four quarters, with growth averaging 191.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $104,994 (Q1 2026), $17,124 (Q4 2025) and $35,392 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | Flag Ship Acquisition | 83.83 Mn | 83.81 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65,449.00 |
| Mar 31, 2026 | 104,994.00 |
| Dec 31, 2025 | 17,124.00 |
| Sep 30, 2025 | 35,392.00 |
| Jun 30, 2025 | 8,742.00 |
| Mar 31, 2025 | 8,192.00 |
| Dec 31, 2024 | 34,370.00 |
| Sep 30, 2024 | 10,413.00 |
| Jun 30, 2024 | 31,910.00 |
API Access
Flag Ship Acquisition Accumulated Expenses 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=accumulated-expenses&ticker=FSHP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "FSHP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=FSHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();