M2i Global (MTWO) Operating Expenses (2019 - 2025)
M2i Global (MTWO) recorded Operating Expenses of $1.84 million in fiscal Q4 2025 (quarter ended Nov 30, 2025), up 74.2% from $1.05 million a year earlier and up 8.5% from the prior quarter.
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Analysis
M2i Global (MTWO) Operating Expenses (2019 - 2025) Analysis & Trends
For FY2025 (ended Nov 30, 2025), M2i Global reported Operating Expenses of $5.97 million, up 57.4% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 215.2% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $3.8 million in FY2024 (+91.4%), $1.98 million in FY2023, $67,442 in FY2022 (+278.1%) and $17,837 in FY2021 (-7.1%).
- The fiscal Q4 2025 figure is the highest quarterly Operating Expenses in data going back to fiscal Q1 2019.
- On a year-over-year basis, Operating Expenses rose in four of the last six quarters, with growth averaging 65.0%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 593.3% in fiscal Q2 2022, against a decline of 70.7% in fiscal Q2 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.69 million (Q3 2025), $1.1 million (Q2 2025) and $1.34 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | M2i Global | 14.25 Mn | 13.56 Mn | - | 1.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 1.84 Mn |
| Aug 31, 2025 | 1.69 Mn |
| May 31, 2025 | 1.10 Mn |
| Feb 28, 2025 | 1.34 Mn |
| Nov 30, 2024 | 1.05 Mn |
| Aug 31, 2024 | 716,546.00 |
| May 31, 2024 | 1.35 Mn |
| Feb 29, 2024 | 675,185.00 |
| Nov 30, 2023 | -34,093.00 |
| Aug 31, 2023 | 1.45 Mn |
| May 31, 2023 | 539,140.00 |
| Feb 28, 2023 | 31,391.00 |
| Nov 30, 2022 | 19,807.00 |
| Aug 31, 2022 | 23,364.00 |
| May 31, 2022 | 12,770.00 |
| Feb 28, 2022 | 11,501.00 |
| Nov 30, 2021 | 11,619.00 |
| Aug 31, 2021 | 1,679.00 |
| May 31, 2021 | 1,842.00 |
| Feb 28, 2021 | 2,697.00 |
API Access
M2i Global Operating Expenses 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=operating-expenses&ticker=MTWO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MTWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();