Global Mofy AI (GMM) Total Liabilities (2022 - 2026)
Global Mofy AI (GMM) recorded Total Liabilities of $15.04 million in fiscal Q2 2026 (quarter ended Mar 31, 2026), down 3.1% from $15.52 million a year earlier.
Global Mofy AI (GMM) Total Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Global Mofy AI reported Total Liabilities of $15.93 million, up 16.3% from FY2024.
- Annual Total Liabilities has increased for three straight fiscal years, with a three-year compound annual growth rate of 49.4% (FY2022 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $13.69 million in FY2024 (+117.2%), $6.3 million in FY2023 (+31.9%) and $4.78 million in FY2022.
- The fiscal Q2 2026 figure is the lowest quarterly Total Liabilities since fiscal Q4 2024.
- On a year-over-year basis, Total Liabilities rose in three of the last four quarters, with growth averaging 43.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 100.89 Bn | 76.14 Bn | 6.00 Bn | 18.22 Bn |
| 2 | Atlassian | 58.64 Bn | 51.92 Bn | 1.53 Bn | 5.05 Bn |
| 3 | Autodesk | 51.48 Bn | 39.51 Bn | 1.87 Bn | 9.60 Bn |
| 4 | Twilio | 40.78 Bn | 30.85 Bn | 725.87 Mn | 1.86 Bn |
| 5 | Zoom Communications | 29.13 Bn | -1.65 Bn | 985.50 Mn | 2.28 Bn |
| 6 | Figma | 12.17 Bn | 5.67 Bn | 309.61 Mn | 873.37 Mn |
| 7 | Dropbox | 8.25 Bn | 3.88 Bn | 506.50 Mn | 5.01 Bn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.96 Bn | 6.46 Bn | 472.31 Mn | 1.99 Bn |
| 10 | Global Mofy AI | 290,183.95 | -23.89 Mn | - | 15.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 15.04 Mn |
| Sep 30, 2025 | 15.93 Mn |
| Mar 31, 2025 | 15.52 Mn |
| Sep 30, 2024 | 13.69 Mn |
| Mar 31, 2024 | 10.77 Mn |
| Sep 30, 2023 | 6.30 Mn |
| Sep 30, 2022 | 4.78 Mn |
Global Mofy AI Total Liabilities 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=total-liabilities&ticker=GMM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=GMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();