Solesence (SLSN) EV to EBITDA (2016 - 2026)
Solesence's (SLSN) EV to EBITDA came in at 30.73 for Q1 2026, up 12.6% from 27.30 a year earlier but down 16.5% from the prior quarter.
Solesence (SLSN) EV to EBITDA (2016 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, EV to EBITDA at Solesence was 28.04, up 7.8% year-over-year; for FY2025, it came in at 45.24, up 61.6% from FY2024.
- In prior years, Solesence's EV to EBITDA was 27.99 in FY2024 and 71.18 in FY2021 (+316.1%).
- Quarterly EV to EBITDA has run from a low of 25.22 in Q3 2024 to a high of 86.13 in Q3 2025 over five years.
- On a year-over-year basis, EV to EBITDA has increased in each of the last three quarters.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 36.81 (Q4 2025), 86.13 (Q3 2025) and 45.82 (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 371.53 Bn | 327.28 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 75.49 Bn | 70.22 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 38.41 Bn | 26.49 Bn | 2.74 Bn |
| 4 | Kenvue | 37.04 Bn | 32.65 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 35.98 Bn | 33.18 Bn | 1.60 Bn |
| 6 | Church & Dwight | 25.05 Bn | 23.58 Bn | 693.90 Mn |
| 7 | Clorox | 10.64 Bn | 8.92 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.84 Bn | 4.50 Bn | 245.00 Mn |
| 10 | Solesence | 63.42 Mn | 60.08 Mn | 4.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 30.73 |
| Dec 31, 2025 | 36.81 |
| Sep 30, 2025 | 86.13 |
| Jun 30, 2025 | 45.82 |
| Mar 31, 2025 | 27.30 |
| Dec 31, 2024 | 27.99 |
| Sep 30, 2024 | 25.22 |
| Jun 30, 2022 | 78.47 |
| Mar 31, 2022 | 51.69 |
| Dec 31, 2021 | 54.77 |
| Sep 30, 2021 | 28.91 |
| Jun 30, 2021 | 21.37 |
| Mar 31, 2021 | 16.67 |
| Dec 31, 2020 | 14.94 |
| Sep 30, 2020 | 28.38 |
| Jun 30, 2017 | 31.14 |
| Mar 31, 2017 | 211.84 |
| Jun 30, 2016 | 180.74 |
Solesence EV to EBITDA 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=ev-to-ebitda&ticker=SLSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=SLSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();