Yatsen Holding (YSG) Property, Plant & Equipment (Net) (2019 - 2026)
Yatsen Holding's Property, Plant & Equipment (Net) was $9.74 million in Q2 2026, up 3.8% from $9.38 million a year earlier but down 6.7% from the prior quarter.
Yatsen Holding (YSG) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Yatsen Holding came in at $11.01 million, up 8.1% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -24.1% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $10.19 million in FY2024 (+11.5%), $9.14 million in FY2023 (-16.7%), $10.96 million in FY2022 (-71.5%) and $38.5 million in FY2021 (-12.0%).
- Quarterly Property, Plant & Equipment (Net) has moved between $8.09 million (Q1 2024) and $43.24 million (Q3 2021) over five years.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for four straight quarters, with growth averaging 6.9% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2025 (growth of 18.7%); the worst was Q4 2022 (a decline of 72.3%).
- Per Business Quant data, YSG's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $10.44 million (Q1 2026), $10.86 million (Q4 2025) and $10.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 25.52 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 4.61 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 2.71 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 2.23 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 7.07 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 834.80 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 1.48 Bn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 37.74 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 862.00 Mn |
| 10 | Yatsen Holding | 360.43 Mn | -211.68 Mn | 124.36 Mn | 9.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.74 Mn |
| Mar 31, 2026 | 10.44 Mn |
| Dec 31, 2025 | 11.01 Mn |
| Sep 30, 2025 | 10.46 Mn |
| Jun 30, 2025 | 9.38 Mn |
| Mar 31, 2025 | 9.60 Mn |
| Dec 31, 2024 | 10.19 Mn |
| Sep 30, 2024 | 10.31 Mn |
| Jun 30, 2024 | 10.31 Mn |
| Mar 31, 2024 | 8.09 Mn |
| Dec 31, 2023 | 9.13 Mn |
| Sep 30, 2023 | 9.20 Mn |
| Jun 30, 2023 | 8.96 Mn |
| Mar 31, 2023 | 9.22 Mn |
| Dec 31, 2022 | 10.86 Mn |
| Sep 30, 2022 | 12.84 Mn |
| Jun 30, 2022 | 19.99 Mn |
| Mar 31, 2022 | 29.14 Mn |
| Dec 31, 2021 | 38.50 Mn |
| Sep 30, 2021 | 43.24 Mn |
Yatsen Holding Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=YSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=YSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();