mF International (MFI) Other Accumulated Expenses (2022 - 2026)
mF International's Other Accumulated Expenses came in at $30,820 for Q2 2026, up 288.2% from $7,939 a year earlier.
Analysis
mF International (MFI) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, mF International's Other Accumulated Expenses was $13,580, down 65.6% from FY2024.
- Other Accumulated Expenses carries a three-year compound annual growth rate of -44.3% (FY2022 to FY2025).
- Going back by year, Other Accumulated Expenses was $39,429 in FY2024 (+4.4%), $37,764 in FY2023 (-51.9%) and $78,546 in FY2022.
- The Q2 2026 figure represents the highest quarterly Other Accumulated Expenses since Q4 2024.
- Year-over-year, Other Accumulated Expenses increased in two of the last four quarters, with growth averaging 43.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | mF International | 28.79 Mn | -53.32 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30,820.00 |
| Dec 31, 2025 | 13,586.12 |
| Jun 30, 2025 | 7,939.00 |
| Dec 31, 2024 | 39,429.38 |
| Jun 30, 2024 | 16,745.00 |
| Dec 31, 2023 | 37,764.15 |
| Dec 31, 2022 | 78,546.14 |
API Access
mF International Other 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=other-accumulated-expenses&ticker=MFI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "MFI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=MFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();