Global Mofy AI (GMM) Debt Ratio (2022 - 2026)
Global Mofy AI's (GMM) Debt Ratio came in at 0.05 for fiscal Q2 2026 (quarter ended Mar 31, 2026), down 38.7% from 0.08 a year earlier.
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Analysis
Global Mofy AI (GMM) Debt Ratio (2022 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Debt Ratio at Global Mofy AI was 0.35, up 51.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 0.04, down 52.9% from FY2024.
- In prior fiscal years, Global Mofy AI's Debt Ratio was 0.09 in FY2024 (+0.7%), 0.09 in FY2023 (-52.7%) and 0.19 in FY2022.
- Quarterly Debt Ratio has run from a low of 0.04 in fiscal Q2 2024 to a high of 0.19 in fiscal Q4 2022 over five years.
- On a year-over-year basis, Debt Ratio increased in two of the last four quarters, with growth averaging 2.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 100.89 Bn | 76.14 Bn | 6.00 Bn | 0.05 |
| 2 | Atlassian | 58.64 Bn | 51.92 Bn | 1.53 Bn | 0.16 |
| 3 | Autodesk | 51.48 Bn | 39.51 Bn | 1.87 Bn | 0.23 |
| 4 | Twilio | 40.78 Bn | 30.85 Bn | 725.87 Mn | 0.09 |
| 5 | Zoom Communications | 29.13 Bn | -1.65 Bn | 985.50 Mn | - |
| 6 | Figma | 12.17 Bn | 5.67 Bn | 309.61 Mn | - |
| 7 | Dropbox | 8.25 Bn | 3.88 Bn | 506.50 Mn | 0.92 |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.96 Bn | 6.46 Bn | 472.31 Mn | 0.81 |
| 10 | Global Mofy AI | 290,183.95 | -23.89 Mn | - | 0.05 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.05 |
| Sep 30, 2025 | 0.04 |
| Mar 31, 2025 | 0.08 |
| Sep 30, 2024 | 0.09 |
| Mar 31, 2024 | 0.04 |
| Sep 30, 2023 | 0.09 |
| Sep 30, 2022 | 0.19 |
API Access
Global Mofy AI Debt Ratio 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=debt-ratio&ticker=GMM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=GMM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();