Antiaging Quantum Living (AAQL) Operating Expenses (2017 - 2026)
Antiaging Quantum Living (AAQL) reported Operating Expenses of $635,966 for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 70.5% from $372,935 a year earlier and up 103.4% from the prior quarter.
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Analysis
Antiaging Quantum Living (AAQL) Operating Expenses (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Antiaging Quantum Living's Operating Expenses came in at $1.8 million, up 53.2% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.54 million, up 26.2% from FY2025.
- Operating Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 82.5% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $1.22 million in FY2025 (+190.3%), $419,745 in FY2024 (+735.6%) and $50,230 in FY2023.
- The fiscal Q1 2027 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q4 2017.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 71.2% over the last seven quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2024 (growth of 852.8%); the low point was fiscal Q4 2025 (a decline of 62.6%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $312,743 (Q4 2026), $476,151 (Q3 2026) and $375,695 (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | -5.39 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 429.41 Mn |
| 10 | Antiaging Quantum Living | 19.88 Mn | 17.38 Mn | 312,890.00 | 635,966.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 635,966.00 |
| Mar 31, 2026 | 312,743.00 |
| Dec 31, 2025 | 476,151.00 |
| Sep 30, 2025 | 375,695.00 |
| Jun 30, 2025 | 372,935.00 |
| Mar 31, 2025 | 97,945.00 |
| Dec 31, 2024 | 348,125.00 |
| Sep 30, 2024 | 356,569.00 |
| Jun 30, 2024 | 415,837.00 |
| Mar 31, 2024 | 261,807.00 |
| Dec 31, 2023 | 102,632.00 |
| Sep 30, 2023 | 24,378.00 |
| Jun 30, 2023 | 30,927.00 |
| Mar 31, 2023 | 8,433.00 |
| Dec 31, 2022 | 10,772.00 |
| Sep 30, 2022 | 7,520.00 |
| Jun 30, 2022 | 23,505.00 |
| Dec 31, 2021 | 20,210.00 |
| Sep 30, 2021 | 8,832.00 |
| Jun 30, 2021 | 16,211.00 |
API Access
Antiaging Quantum Living 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=AAQL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AAQL", "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=AAQL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();