So-Young International (SY) Accumulated Expenses (2018 - 2026)
So-Young International's Accumulated Expenses came in at $71.08 million for Q2 2026, up 54.2% from $46.1 million a year earlier and up 8.0% from the prior quarter.
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Analysis
So-Young International (SY) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, So-Young International's Accumulated Expenses was $61.13 million, up 68.3% from FY2024.
- Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $36.33 million in FY2024 (+10.3%), $32.95 million in FY2023 (+1.2%), $32.56 million in FY2022 (-44.9%) and $59.14 million in FY2021 (+62.3%).
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses since Q3 2021.
- Year-over-year, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 35.7% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2021 (growth of 156.5%), and the weakest in Q4 2022 (a decline of 46.4%).
- Business Quant data shows SY's Accumulated Expenses at $65.81 million (Q1 2026), $60.28 million (Q4 2025) and $48.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 93.06 Bn | 92.50 Bn | - |
| 2 | Natera | 59.36 Bn | 55.04 Bn | 485.19 Mn |
| 3 | Quest Diagnostics | 25.72 Bn | 24.15 Bn | 1.03 Bn |
| 4 | Labcorp Holdings | 24.93 Bn | 22.69 Bn | 1.11 Bn |
| 5 | Guardant Health | 23.83 Bn | 19.89 Bn | 219.03 Mn |
| 6 | Tenet Healthcare | 20.58 Bn | 11.72 Bn | - |
| 7 | Tempus AI | 14.35 Bn | 11.38 Bn | 246.50 Mn |
| 8 | Encompass Health | 11.99 Bn | 12.46 Bn | - |
| 9 | BrightSpring Health Services | 11.21 Bn | 9.55 Bn | 492.75 Mn |
| 10 | So-Young International | 41.17 Mn | -434.40 Mn | 32.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.08 Mn |
| Mar 31, 2026 | 65.81 Mn |
| Dec 31, 2025 | 60.28 Mn |
| Sep 30, 2025 | 48.02 Mn |
| Jun 30, 2025 | 46.10 Mn |
| Mar 31, 2025 | 37.62 Mn |
| Dec 31, 2024 | 36.92 Mn |
| Sep 30, 2024 | 34.87 Mn |
| Jun 30, 2024 | 34.29 Mn |
| Mar 31, 2024 | 32.87 Mn |
| Dec 31, 2023 | 32.49 Mn |
| Sep 30, 2023 | 37.55 Mn |
| Jun 30, 2023 | 41.85 Mn |
| Mar 31, 2023 | 34.04 Mn |
| Dec 31, 2022 | 31.58 Mn |
| Sep 30, 2022 | 49.41 Mn |
| Jun 30, 2022 | 52.91 Mn |
| Mar 31, 2022 | 60.80 Mn |
| Dec 31, 2021 | 58.94 Mn |
| Sep 30, 2021 | 86.49 Mn |
API Access
So-Young International Accumulated 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=accumulated-expenses&ticker=SY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();