M2i Global (MTWO) Debt Ratio (2022 - 2025)
M2i Global's Debt Ratio came in at 0.55 for fiscal Q4 2025 (quarter ended Nov 30, 2025), down 87.4% from 4.39 a year earlier and down 29.1% from the prior quarter.
Analysis
M2i Global (MTWO) Debt Ratio (2022 - 2025) Analysis & Trends
Going back to fiscal Q4 2022, M2i Global's Debt Ratio data covers 11 quarters.
- Going back by fiscal year, Debt Ratio was 4.39 in FY2024 (-85.5%), 30.26 in FY2023 and 0.85 in FY2022.
- The fiscal Q4 2025 figure represents the lowest quarterly Debt Ratio in data going back to fiscal Q4 2022.
- Year-over-year, Debt Ratio has declined for five consecutive quarters, with an average decline of 47.3% over the last six quarters.
- Business Quant data shows MTWO's Debt Ratio at 0.78 (Q3 2025), 4.32 (Q2 2025) and 3.14 (Q1 2025) in the three fiscal quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 0.07 |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 0.23 |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 0.79 |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 0.35 |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 0.21 |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 0.44 |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 0.10 |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 0.41 |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -88.36 |
| 10 | M2i Global | 14.25 Mn | 13.56 Mn | - | 0.55 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 0.55 |
| Aug 31, 2025 | 0.78 |
| May 31, 2025 | 4.32 |
| Feb 28, 2025 | 3.14 |
| Nov 30, 2024 | 4.39 |
| Aug 31, 2024 | 8.03 |
| May 31, 2024 | 7.05 |
| Feb 29, 2024 | 8.36 |
| Nov 30, 2023 | 30.26 |
| Aug 31, 2023 | 4.45 |
| Nov 30, 2022 | 0.85 |
API Access
M2i Global 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=MTWO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "MTWO", "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=MTWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();