STRATA Skin Sciences, Inc. (SSKN) Accumulated Expenses (2010 - 2025)
STRATA Skin Sciences (SSKN) recorded Accumulated Expenses of $6.16 million in Q4 2025, down 16.4% from $7.36 million a year earlier and down 0.9% from the prior quarter.
STRATA Skin Sciences, Inc. (SSKN) Accumulated Expenses (2010 - 2025) Analysis & Trends
Starting with Q4 2010, STRATA Skin Sciences' Accumulated Expenses history includes 59 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $7.36 million in FY2024 (+16.8%), $6.31 million in FY2023 (-3.8%), $6.56 million in FY2022 (+2.8%) and $6.38 million in FY2021 (+36.0%).
- Quarterly Accumulated Expenses has ranged from $5.1 million in Q2 2021 to $7.64 million in Q3 2024 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in four of the last eight quarters, with growth averaging 2.0%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 36.0% in Q4 2021, against a decline of 18.7% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.21 million (Q3 2025), $5.95 million (Q2 2025) and $7.24 million (Q1 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.16 Mn |
| Sep 30, 2025 | 6.21 Mn |
| Jun 30, 2025 | 5.95 Mn |
| Mar 31, 2025 | 7.24 Mn |
| Dec 31, 2024 | 7.36 Mn |
| Sep 30, 2024 | 7.64 Mn |
| Jun 30, 2024 | 5.78 Mn |
| Mar 31, 2024 | 5.45 Mn |
| Dec 31, 2023 | 6.31 Mn |
| Sep 30, 2023 | 5.90 Mn |
| Jun 30, 2023 | 6.73 Mn |
| Mar 31, 2023 | 6.55 Mn |
| Dec 31, 2022 | 6.56 Mn |
| Sep 30, 2022 | 6.08 Mn |
| Jun 30, 2022 | 6.14 Mn |
| Mar 31, 2022 | 6.54 Mn |
| Dec 31, 2021 | 6.38 Mn |
| Sep 30, 2021 | 5.55 Mn |
| Jun 30, 2021 | 5.10 Mn |
| Mar 31, 2021 | 5.29 Mn |
STRATA Skin Sciences, Inc. Accumulated 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=accumulated-expenses&ticker=SSKN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SSKN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SSKN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();