So-Young International (SY) Long-Term Investments (2018 - 2026)
So-Young International's Long-Term Investments came in at $40.86 million for Q2 2026, up 5.4% from $38.76 million a year earlier and up 2.8% from the prior quarter.
So-Young International (SY) Long-Term Investments (2018 - 2026) Analysis & Trends
At the end of FY2025, So-Young International's Long-Term Investments was $39.29 million, up 2.3% from FY2024.
- Long-Term Investments has increased in each of the last three years, with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Going back by year, Long-Term Investments was $38.4 million in FY2024 (+4.4%), $36.76 million in FY2023 (+11.2%), $33.05 million in FY2022 (-16.6%) and $39.62 million in FY2021 (+55.7%).
- The Q2 2026 figure represents the highest quarterly Long-Term Investments since Q3 2024.
- Year-over-year, Long-Term Investments increased in six of the last eight quarters, with growth averaging 4.8%.
- The fastest year-over-year change in Long-Term Investments over five years came in Q3 2021 (growth of 547.5%), and the weakest in Q4 2022 (a decline of 18.8%).
- Business Quant data shows SY's Long-Term Investments at $39.75 million (Q1 2026), $38.74 million (Q4 2025) and $38.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 93.06 Bn | 92.50 Bn | - | 813.00 Mn |
| 2 | Natera | 59.36 Bn | 55.04 Bn | 485.19 Mn | - |
| 3 | Quest Diagnostics | 25.72 Bn | 24.15 Bn | 1.03 Bn | 137.00 Mn |
| 4 | Labcorp Holdings | 24.93 Bn | 22.69 Bn | 1.11 Bn | 210.00 Mn |
| 5 | Guardant Health | 23.83 Bn | 19.89 Bn | 219.03 Mn | - |
| 6 | Tenet Healthcare | 20.58 Bn | 11.72 Bn | - | 3.80 Bn |
| 7 | Tempus AI | 14.35 Bn | 11.38 Bn | 246.50 Mn | 77.81 Mn |
| 8 | Encompass Health | 11.99 Bn | 12.46 Bn | - | - |
| 9 | BrightSpring Health Services | 11.21 Bn | 9.55 Bn | 492.75 Mn | 7.54 Mn |
| 10 | So-Young International | 41.17 Mn | -434.40 Mn | 32.84 Mn | 40.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.86 Mn |
| Mar 31, 2026 | 39.75 Mn |
| Dec 31, 2025 | 38.74 Mn |
| Sep 30, 2025 | 38.92 Mn |
| Jun 30, 2025 | 38.76 Mn |
| Mar 31, 2025 | 38.23 Mn |
| Dec 31, 2024 | 39.02 Mn |
| Sep 30, 2024 | 40.97 Mn |
| Jun 30, 2024 | 38.33 Mn |
| Mar 31, 2024 | 35.46 Mn |
| Dec 31, 2023 | 36.25 Mn |
| Sep 30, 2023 | 34.59 Mn |
| Jun 30, 2023 | 34.71 Mn |
| Mar 31, 2023 | 35.53 Mn |
| Dec 31, 2022 | 32.05 Mn |
| Sep 30, 2022 | 32.91 Mn |
| Jun 30, 2022 | 37.47 Mn |
| Mar 31, 2022 | 39.66 Mn |
| Dec 31, 2021 | 39.49 Mn |
| Sep 30, 2021 | 39.32 Mn |
So-Young International Long-Term Investments 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=long-term-investments&ticker=SY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=SY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();