QDM International (QDMI) Total Liabilities (2010 - 2026)
QDM International (QDMI) reported Total Liabilities of $2.42 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 14.1% from $2.81 million a year earlier but up 28.4% from the prior quarter.
QDM International (QDMI) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), QDM International posted Total Liabilities of $1.88 million, up 0.7% from FY2025.
- Total Liabilities has a five-year compound annual growth rate of 26.5% (FY2021 to FY2026).
- By fiscal year, Total Liabilities came in at $1.87 million in FY2025 (-20.8%), $2.36 million in FY2024 (+75.5%), $1.34 million in FY2023 (+42.2%) and $944,615 in FY2022 (+62.9%).
- Five-year quarterly Total Liabilities spans a low of $563,975 in fiscal Q2 2022 and a high of $5.61 million in fiscal Q3 2026.
- Year over year, Total Liabilities gained in four of the last eight quarters, with growth averaging 47.1%.
- The high point for year-over-year Total Liabilities in five years was fiscal Q2 2022 (growth of 672.0%); the low point was fiscal Q3 2025 (a decline of 71.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $1.88 million (Q4 2026), $5.61 million (Q3 2026) and $3.86 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 751.17 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 58.06 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 91.06 Bn |
| 10 | QDM International | 75.13 Mn | 29.77 Mn | 4.26 Mn | 2.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.42 Mn |
| Mar 31, 2026 | 1.88 Mn |
| Dec 31, 2025 | 5.61 Mn |
| Sep 30, 2025 | 3.86 Mn |
| Jun 30, 2025 | 2.81 Mn |
| Mar 31, 2025 | 1.87 Mn |
| Dec 31, 2024 | 1.03 Mn |
| Sep 30, 2024 | 2.68 Mn |
| Jun 30, 2024 | 2.68 Mn |
| Mar 31, 2024 | 2.36 Mn |
| Dec 31, 2023 | 3.61 Mn |
| Sep 30, 2023 | 3.04 Mn |
| Jun 30, 2023 | 2.79 Mn |
| Mar 31, 2023 | 1.34 Mn |
| Dec 31, 2022 | 1.10 Mn |
| Sep 30, 2022 | 1.09 Mn |
| Jun 30, 2022 | 996,510.00 |
| Mar 31, 2022 | 944,615.00 |
| Dec 31, 2021 | 626,733.00 |
| Sep 30, 2021 | 563,975.00 |
QDM International 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=QDMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "QDMI", "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=QDMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();