Antiaging Quantum Living (AAQL) EBITDA Margin (2021 - 2026)
Antiaging Quantum Living's EBITDA Margin came in at -42.84% for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 7.70 percentage points from -35.14% a year earlier but up 2860.33 percentage points from the prior quarter.
Antiaging Quantum Living (AAQL) EBITDA Margin (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Antiaging Quantum Living reported EBITDA Margin of -61.84%, down 0.71 percentage points year-over-year; for FY2026 (ended Mar 31, 2026), it was -67.73%, up 11.21 percentage points from FY2025.
- EBITDA Margin carries a three-year change of +199.30 percentage points (FY2023 to FY2026).
- Going back by fiscal year, EBITDA Margin was -78.94% in FY2025 (+5335.52 pp), -5414.47% in FY2024 (-5147.44 pp) and -267.03% in FY2023.
- The five-year range for quarterly EBITDA Margin is -2903.17% (fiscal Q4 2026) to -1.85% (fiscal Q2 2026).
- Year-over-year, EBITDA Margin increased in four of the last six quarters, with an average year-over-year change of -207.47 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in fiscal Q1 2025 (a gain of 2375.00 percentage points), and the weakest in fiscal Q4 2026 (a drop of 2853.43 percentage points).
- Business Quant data shows AAQL's EBITDA Margin at -2903.17% (Q4 2026), -67.10% (Q3 2026) and -1.85% (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 39.96% |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 41.33% |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 34.18% |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 13.82% |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.69% |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 35.76% |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 79.37% |
| 10 | Antiaging Quantum Living | 19.88 Mn | 17.38 Mn | 312,890.00 | -42.84% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -42.84% |
| Mar 31, 2026 | -2,903.17% |
| Dec 31, 2025 | -67.10% |
| Sep 30, 2025 | -1.85% |
| Jun 30, 2025 | -35.14% |
| Mar 31, 2025 | -49.74% |
| Dec 31, 2024 | -105.23% |
| Sep 30, 2024 | -84.48% |
| Jun 30, 2024 | -95.75% |
| Dec 31, 2023 | -1,540.15% |
| Jun 30, 2023 | -2,470.75% |
| Mar 31, 2023 | -596.25% |
| Dec 31, 2022 | -167.33% |
| Sep 30, 2022 | -24.03% |
| Jun 30, 2022 | -876.08% |
| Dec 31, 2021 | -1,377.00% |
Antiaging Quantum Living EBITDA Margin 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=ebitda-margin&ticker=AAQL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=AAQL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();