Global Mofy AI (GMM) Cash & Equivalents (2022 - 2026)
Global Mofy AI (GMM) recorded Cash & Equivalents of $2.83 million in fiscal Q2 2026 (quarter ended Mar 31, 2026), down 52.8% from $6 million a year earlier.
Global Mofy AI (GMM) Cash & Equivalents (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Global Mofy AI reported Cash & Equivalents of $4.17 million, down 62.3% from FY2024.
- Annual Cash & Equivalents has a four-year compound annual growth rate of 39.9% (FY2021 to FY2025).
- Across earlier fiscal years, Cash & Equivalents came in at $11.07 million in FY2024 (+6.0%), $10.44 million in FY2023 (+818.7%), $1.14 million in FY2022 (+4.4%) and $1.09 million in FY2021.
- The fiscal Q2 2026 figure is the lowest quarterly Cash & Equivalents since fiscal Q4 2022.
- On a year-over-year basis, Cash & Equivalents rose in 1 of the last four quarters, with an average decline of 31.9%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 105.20 Bn | 80.45 Bn | 6.00 Bn | 4.36 Bn |
| 2 | Atlassian | 57.95 Bn | 51.23 Bn | 1.53 Bn | 1.24 Bn |
| 3 | Autodesk | 52.72 Bn | 40.75 Bn | 1.87 Bn | 4.10 Bn |
| 4 | Twilio | 39.84 Bn | 29.90 Bn | 725.87 Mn | 823.26 Mn |
| 5 | Zoom Communications | 28.14 Bn | -2.65 Bn | 985.50 Mn | 931.99 Mn |
| 6 | Figma | 12.84 Bn | 6.35 Bn | 309.61 Mn | 445.85 Mn |
| 7 | Dropbox | 8.42 Bn | 4.05 Bn | 506.50 Mn | 1.06 Bn |
| 8 | Nice | 7.30 Bn | 5.77 Bn | 995.81 Mn | 315.38 Mn |
| 9 | RingCentral | 7.12 Bn | 6.61 Bn | 472.31 Mn | 111.50 Mn |
| 10 | Global Mofy AI | 277,506.02 | -23.90 Mn | - | 2.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.83 Mn |
| Sep 30, 2025 | 4.17 Mn |
| Mar 31, 2025 | 6.00 Mn |
| Sep 30, 2024 | 11.07 Mn |
| Mar 31, 2024 | 7.36 Mn |
| Sep 30, 2023 | 10.44 Mn |
| Sep 30, 2022 | 1.14 Mn |
Global Mofy AI 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=GMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();