Global Mofy AI (GMM) Other Accumulated Expenses (2022 - 2026)
Global Mofy AI's Other Accumulated Expenses came in at $23,578 for fiscal Q2 2026 (quarter ended Mar 31, 2026), up 5.2% from $22,413 a year earlier.
Global Mofy AI (GMM) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Global Mofy AI's Other Accumulated Expenses was $22,846, down 54.7% from FY2024.
- Other Accumulated Expenses carries a three-year compound annual growth rate of -16.8% (FY2022 to FY2025).
- Going back by fiscal year, Other Accumulated Expenses was $50,380 in FY2024 (-86.3%), $368,271 in FY2023 (+829.5%) and $39,620 in FY2022.
- The fiscal Q2 2026 figure represents the highest quarterly Other Accumulated Expenses since fiscal Q4 2024.
- Year-over-year, Other Accumulated Expenses increased in 1 of the last four quarters, with an average decline of 58.4%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 104.04 Bn | 79.29 Bn | 6.00 Bn |
| 2 | Atlassian | 58.96 Bn | 52.24 Bn | 1.53 Bn |
| 3 | Autodesk | 52.95 Bn | 40.98 Bn | 1.87 Bn |
| 4 | Twilio | 39.82 Bn | 29.89 Bn | 725.87 Mn |
| 5 | Zoom Communications | 28.04 Bn | -2.75 Bn | 985.50 Mn |
| 6 | Figma | 12.97 Bn | 6.47 Bn | 309.61 Mn |
| 7 | Dropbox | 8.48 Bn | 4.11 Bn | 506.50 Mn |
| 8 | Nice | 7.54 Bn | 6.01 Bn | 995.81 Mn |
| 9 | RingCentral | 6.99 Bn | 6.49 Bn | 472.31 Mn |
| 10 | Global Mofy AI | 262,264.31 | -23.92 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 23,578.00 |
| Sep 30, 2025 | 22,846.00 |
| Mar 31, 2025 | 22,413.00 |
| Sep 30, 2024 | 50,380.00 |
| Mar 31, 2024 | 1.09 Mn |
| Sep 30, 2023 | 368,271.00 |
| Sep 30, 2022 | 39,620.00 |
Global Mofy AI 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=GMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "GMM", "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=GMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();