M2i Global (MTWO) Return on Assets [ROA] (2020 - 2025)
M2i Global (MTWO) posted Return on Assets [ROA] of -1358.87% for fiscal Q4 2025 (quarter ended Nov 30, 2025), up 4012.50 percentage points from -5371.37% a year earlier and up 801.70 percentage points from the prior quarter.
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Analysis
M2i Global (MTWO) Return on Assets [ROA] (2020 - 2025) Analysis & Trends
For FY2025 (ended Nov 30, 2025), M2i Global's Return on Assets [ROA] came in at -2130.13%, up 3688.39 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -1812.38 percentage points (FY2020 to FY2025).
- In prior fiscal years, M2i Global's Return on Assets [ROA] was -5818.51% in FY2024 (-3531.60 pp), -2286.91% in FY2023 (-2195.46 pp), -91.45% in FY2022 (+23.08 pp) and -114.53% in FY2021 (+203.21 pp).
- The fiscal Q4 2025 figure stands as the highest quarterly Return on Assets [ROA] since fiscal Q3 2023.
- On a year-over-year basis, Return on Assets [ROA] increased in two of the last eight quarters, with an average year-over-year change of -845.88 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was fiscal Q1 2021, with a gain of 5389.54 percentage points; the weakest was fiscal Q4 2023, with a drop of 4159.06 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior fiscal quarters was -2160.57% (Q3 2025), -4300.81% (Q2 2025) and -4442.17% (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 11.97% |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 19.46% |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 2.15% |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 15.67% |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 3.63% |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 15.83% |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 2.76% |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 13.31% |
| 10 | M2i Global | 7.13 Mn | 6.44 Mn | - | -1,358.87% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | -1,358.87% |
| Aug 31, 2025 | -2,160.57% |
| May 31, 2025 | -4,300.81% |
| Feb 28, 2025 | -4,442.17% |
| Nov 30, 2024 | -5,371.37% |
| Aug 31, 2024 | -2,978.50% |
| May 31, 2024 | -3,008.89% |
| Feb 29, 2024 | -3,484.41% |
| Nov 30, 2023 | -4,154.57% |
| Aug 31, 2023 | -1,108.66% |
| May 31, 2023 | -228.91% |
| Feb 28, 2023 | 31.65% |
| Nov 30, 2022 | 30.20% |
| Aug 31, 2022 | 171.05% |
| May 31, 2022 | 63.15% |
| Feb 28, 2022 | 118.99% |
| Nov 30, 2021 | 72.74% |
| Aug 31, 2021 | 4.55% |
| May 31, 2021 | -34.62% |
| Feb 28, 2021 | -116.44% |
API Access
M2i Global Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=MTWO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=MTWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();