Solesence (SLSN) Price to Earnings (2017 - 2026)
Solesence's Price to Earnings came in at 51.07 for Q1 2026, up 31.0% from 38.99 a year earlier and up 18.4% from the prior quarter.
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Analysis
Solesence (SLSN) Price to Earnings (2017 - 2026) Analysis & Trends
For FY2025, Solesence's Price to Earnings was 63.12, up 56.3% from FY2024.
- Going back by year, Price to Earnings was 40.39 in FY2024 and 92.73 in FY2021 (+182.3%).
- The five-year range for quarterly Price to Earnings is 38.99 (Q1 2025) to 169.22 (Q1 2022).
- Year-over-year, Price to Earnings has increased for three consecutive quarters.
- Business Quant data shows SLSN's Price to Earnings at 43.14 (Q4 2025), 119.67 (Q3 2025) and 50.68 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn |
| 10 | Solesence | 57.93 Mn | 54.59 Mn | 4.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 51.07 |
| Dec 31, 2025 | 43.14 |
| Sep 30, 2025 | 119.67 |
| Jun 30, 2025 | 50.68 |
| Mar 31, 2025 | 38.99 |
| Dec 31, 2024 | 40.38 |
| Sep 30, 2024 | 42.51 |
| Jun 30, 2022 | 134.55 |
| Mar 31, 2022 | 169.22 |
| Dec 31, 2021 | 92.73 |
| Sep 30, 2021 | 45.91 |
| Jun 30, 2021 | 41.22 |
| Mar 31, 2021 | 18.75 |
| Dec 31, 2020 | 32.85 |
| Jun 30, 2017 | 197.42 |
API Access
Solesence Price to Earnings 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=price-to-earnings&ticker=SLSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "SLSN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=SLSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();