So-Young International (SY) Operating Leases (2018 - 2026)
So-Young International (SY) recorded Operating Leases of $27.05 million in Q2 2026, up 33.4% from $20.27 million a year earlier and up 2.4% from the prior quarter.
So-Young International (SY) Operating Leases (2018 - 2026) Analysis & Trends
At the end of FY2025, So-Young International reported Operating Leases of $26.22 million, up 52.9% from FY2024.
- Annual Operating Leases has increased for three straight years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $17.15 million in FY2024 (+41.3%), $12.14 million in FY2023 (+299.3%), $3.04 million in FY2022 (-68.9%) and $9.79 million in FY2021 (-31.4%).
- The Q2 2026 figure is the highest quarterly Operating Leases in data going back to Q4 2018.
- On a year-over-year basis, Operating Leases has increased for seven consecutive quarters, with growth averaging 37.8% over the last seven quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 906.5% in Q1 2024, against a decline of 85.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $26.43 million (Q1 2026), $25.85 million (Q4 2025) and $22.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | HCA Healthcare | 100.51 Bn | 96.52 Bn | - |
| 2 | Natera | 57.27 Bn | 52.95 Bn | 485.19 Mn |
| 3 | Quest Diagnostics | 26.09 Bn | 24.22 Bn | 1.03 Bn |
| 4 | Labcorp Holdings | 26.08 Bn | 23.83 Bn | 1.11 Bn |
| 5 | Tenet Healthcare | 22.29 Bn | 11.30 Bn | - |
| 6 | Guardant Health | 21.03 Bn | 17.09 Bn | 219.03 Mn |
| 7 | Fresenius Medical Care AG | 12.78 Bn | 4.73 Bn | 1.52 Bn |
| 8 | BrightSpring Health Services | 12.65 Bn | 10.98 Bn | 492.75 Mn |
| 9 | Davita | 12.13 Bn | 9.34 Bn | 1.16 Bn |
| 10 | So-Young International | 17.40 Mn | -461.02 Mn | 32.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.05 Mn |
| Mar 31, 2026 | 26.43 Mn |
| Dec 31, 2025 | 26.21 Mn |
| Sep 30, 2025 | 22.47 Mn |
| Jun 30, 2025 | 20.27 Mn |
| Mar 31, 2025 | 18.70 Mn |
| Dec 31, 2024 | 17.16 Mn |
| Sep 30, 2024 | 17.80 Mn |
| Jun 30, 2024 | 15.75 Mn |
| Mar 31, 2024 | 13.24 Mn |
| Dec 31, 2023 | 12.13 Mn |
| Sep 30, 2023 | 796,000.00 |
| Jun 30, 2023 | 920,000.00 |
| Mar 31, 2023 | 1.32 Mn |
| Dec 31, 2022 | 3.01 Mn |
| Sep 30, 2022 | 4.60 Mn |
| Jun 30, 2022 | 6.38 Mn |
| Mar 31, 2022 | 8.28 Mn |
| Dec 31, 2021 | 9.79 Mn |
| Sep 30, 2021 | 11.18 Mn |
So-Young International Operating Leases 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-leases&ticker=SY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();