Solesence (SLSN) Operating Expenses (2010 - 2026)
Solesence (SLSN) posted Operating Expenses of $4.63 million for Q2 2026, up 16.6% from $3.97 million a year earlier and up 20.5% from the prior quarter.
Solesence (SLSN) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Solesence was $15.87 million, up 22.2% year-over-year; for FY2025, it was $14.49 million, up 31.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 26.3% (FY2020 to FY2025).
- In prior years, Solesence's Operating Expenses was $11.06 million in FY2024 (-2.8%), $11.37 million in FY2023 (+7.1%), $10.62 million in FY2022 (+73.2%) and $6.13 million in FY2021 (+36.1%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 24.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 98.3%; the weakest was Q1 2024, with a decline of 21.7%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $3.84 million (Q1 2026), $3.25 million (Q4 2025) and $4.15 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 1.60 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Solesence | 58.64 Mn | 55.30 Mn | 4.75 Mn | 4.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.63 Mn |
| Mar 31, 2026 | 3.84 Mn |
| Dec 31, 2025 | 3.25 Mn |
| Sep 30, 2025 | 4.15 Mn |
| Jun 30, 2025 | 3.97 Mn |
| Mar 31, 2025 | 3.13 Mn |
| Dec 31, 2024 | 2.99 Mn |
| Sep 30, 2024 | 2.90 Mn |
| Jun 30, 2024 | 2.69 Mn |
| Mar 31, 2024 | 2.47 Mn |
| Dec 31, 2023 | 2.37 Mn |
| Sep 30, 2023 | 2.75 Mn |
| Jun 30, 2023 | 3.10 Mn |
| Mar 31, 2023 | 3.15 Mn |
| Dec 31, 2022 | 2.82 Mn |
| Sep 30, 2022 | 3.13 Mn |
| Jun 30, 2022 | 2.61 Mn |
| Mar 31, 2022 | 2.06 Mn |
| Dec 31, 2021 | 1.47 Mn |
| Sep 30, 2021 | 1.58 Mn |
Solesence Operating Expenses 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-expenses&ticker=SLSN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SLSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();