Yatsen Holding (YSG) Operating Leases (2019 - 2026)
Yatsen Holding's Operating Leases was $18.83 million in Q2 2026, up 3.4% from $18.22 million a year earlier and up 17.9% from the prior quarter.
Yatsen Holding (YSG) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Yatsen Holding came in at $17.61 million, up 17.4% from FY2024.
- Operating Leases has now increased for three consecutive years, though with a five-year compound annual growth rate of -18.1% (FY2020 to FY2025).
- In earlier years, Operating Leases was $15.01 million in FY2024 (+57.2%), $9.55 million in FY2023 (+24.2%), $7.68 million in FY2022 (-76.3%) and $32.37 million in FY2021 (-32.3%).
- The Q2 2026 figure marks the highest quarterly Operating Leases since Q1 2022.
- Compared with a year earlier, Operating Leases was higher in seven of the last eight quarters, with growth averaging 42.4%.
- The best year-over-year quarter for Operating Leases over five years was Q2 2024 (growth of 126.5%); the worst was Q3 2022 (a decline of 81.4%).
- Per Business Quant data, YSG's Operating Leases in the three quarters before Q2 2026 was $15.97 million (Q1 2026), $17.36 million (Q4 2025) and $17.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn |
| 10 | Yatsen Holding | 231.89 Mn | -339.97 Mn | 124.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.83 Mn |
| Mar 31, 2026 | 15.97 Mn |
| Dec 31, 2025 | 17.60 Mn |
| Sep 30, 2025 | 17.94 Mn |
| Jun 30, 2025 | 18.22 Mn |
| Mar 31, 2025 | 16.61 Mn |
| Dec 31, 2024 | 15.01 Mn |
| Sep 30, 2024 | 11.83 Mn |
| Jun 30, 2024 | 12.50 Mn |
| Mar 31, 2024 | 8.62 Mn |
| Dec 31, 2023 | 9.54 Mn |
| Sep 30, 2023 | 6.81 Mn |
| Jun 30, 2023 | 5.52 Mn |
| Mar 31, 2023 | 5.42 Mn |
| Dec 31, 2022 | 7.61 Mn |
| Sep 30, 2022 | 7.32 Mn |
| Jun 30, 2022 | 17.37 Mn |
| Mar 31, 2022 | 25.55 Mn |
| Dec 31, 2021 | 32.38 Mn |
| Sep 30, 2021 | 39.43 Mn |
Yatsen Holding 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=YSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "YSG", "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=YSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();