M2i Global (MTWO) Total Liabilities (2018 - 2025)
M2i Global (MTWO) reported Total Liabilities of $7.54 million for fiscal Q4 2025 (quarter ended Nov 30, 2025), up 187.9% from $2.62 million a year earlier and up 119.8% from the prior quarter.
M2i Global (MTWO) Total Liabilities (2018 - 2025) Analysis & Trends
Dating back to fiscal Q4 2018, M2i Global's Total Liabilities record includes 27 quarters.
- Total Liabilities has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 207.2% (FY2020 to FY2025).
- By fiscal year, Total Liabilities came in at $2.62 million in FY2024 (+140.8%), $1.09 million in FY2023 (+789.3%), $122,250 in FY2022 (+205.5%) and $40,013 in FY2021 (+45.3%).
- The fiscal Q4 2025 figure ranks as the highest quarterly Total Liabilities in data going back to fiscal Q4 2018.
- Year over year, Total Liabilities has now increased in each of the last six quarters, with growth averaging 216.1% over the last seven quarters.
- The high point for year-over-year Total Liabilities in five years was fiscal Q1 2024 (growth of 810.6%); the low point was fiscal Q3 2021 (a decline of 2.2%).
- Per Business Quant data, the three fiscal quarters before Q4 2025 came in at $3.43 million (Q3 2025), $3.84 million (Q2 2025) and $3.44 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | M2i Global | 14.25 Mn | 13.56 Mn | - | 7.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2025 | 7.54 Mn |
| Aug 31, 2025 | 3.43 Mn |
| May 31, 2025 | 3.84 Mn |
| Feb 28, 2025 | 3.44 Mn |
| Nov 30, 2024 | 2.62 Mn |
| Aug 31, 2024 | 2.14 Mn |
| May 31, 2024 | 2.47 Mn |
| Feb 29, 2024 | 1.30 Mn |
| Nov 30, 2023 | 1.09 Mn |
| Aug 31, 2023 | 1.11 Mn |
| May 31, 2023 | 182,334.00 |
| Feb 28, 2023 | 142,343.00 |
| Nov 30, 2022 | 122,250.00 |
| Aug 31, 2022 | 88,643.00 |
| May 31, 2022 | 63,796.00 |
| Feb 28, 2022 | 51,189.00 |
| Nov 30, 2021 | 40,013.00 |
| Aug 31, 2021 | 28,394.00 |
| May 31, 2021 | 27,744.00 |
| Feb 28, 2021 | 27,744.00 |
M2i Global 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=MTWO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MTWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();