QDM International (QDMI) Operating Expenses (2010 - 2026)
QDM International (QDMI) reported Operating Expenses of $484,497 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 31.9% from $367,194 a year earlier but down 12.7% from the prior quarter.
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Analysis
QDM International (QDMI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, QDM International's Operating Expenses came in at $2.48 million, up 62.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $2.36 million, up 67.2% from FY2025.
- Operating Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 47.9% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $1.41 million in FY2025 (+116.3%), $652,836 in FY2024 (+74.5%), $374,142 in FY2023 (-0.7%) and $376,968 in FY2022 (+13.1%).
- Five-year quarterly Operating Expenses spans a low of $74,822 in fiscal Q2 2023 and a high of $1.09 million in fiscal Q3 2026.
- Year over year, Operating Expenses has now increased in each of the last 14 quarters, with growth averaging 84.1% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2024 (growth of 160.5%); the low point was fiscal Q2 2022 (a decline of 49.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $554,964 (Q4 2026), $1.09 million (Q3 2026) and $349,519 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | QDM International | 75.13 Mn | 29.77 Mn | 4.26 Mn | 484,497.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 484,497.00 |
| Mar 31, 2026 | 554,964.00 |
| Dec 31, 2025 | 1.09 Mn |
| Sep 30, 2025 | 349,519.00 |
| Jun 30, 2025 | 367,194.00 |
| Mar 31, 2025 | 436,880.00 |
| Dec 31, 2024 | 452,524.00 |
| Sep 30, 2024 | 273,762.00 |
| Jun 30, 2024 | 248,779.00 |
| Mar 31, 2024 | 173,998.00 |
| Dec 31, 2023 | 200,271.00 |
| Sep 30, 2023 | 123,923.00 |
| Jun 30, 2023 | 154,644.00 |
| Mar 31, 2023 | 125,820.00 |
| Dec 31, 2022 | 76,875.00 |
| Sep 30, 2022 | 74,822.00 |
| Jun 30, 2022 | 96,625.00 |
| Mar 31, 2022 | 103,428.00 |
| Dec 31, 2021 | 89,837.00 |
| Sep 30, 2021 | 75,580.00 |
API Access
QDM International 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=QDMI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=QDMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();