SkinHealth Systems (SKIN) Cash & Equivalents (2020 - 2026)
SkinHealth Systems (SKIN) recorded Cash & Equivalents of $206.07 million in Q2 2026, down 2.8% from $212 million a year earlier but up 0.8% from the prior quarter.
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Analysis
SkinHealth Systems (SKIN) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, SkinHealth Systems reported Cash & Equivalents of $232.67 million, down 37.1% from FY2024.
- Annual Cash & Equivalents has declined for four straight years, though with a five-year compound annual growth rate of 89.6% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $370.06 million in FY2024 (-29.2%), $523.03 million in FY2023 (-8.0%), $568.2 million in FY2022 (-37.0%) and $901.89 million in FY2021.
- Quarterly Cash & Equivalents has ranged from $204.36 million in Q1 2026 to $901.89 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for 16 consecutive quarters, with an average decline of 30.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 709.1% in Q2 2022, against a decline of 45.2% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $204.36 million (Q1 2026), $232.67 million (Q4 2025) and $219.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | SkinHealth Systems | 81.97 Mn | -780.54 Mn | 49.34 Mn | 206.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 206.07 Mn |
| Mar 31, 2026 | 204.36 Mn |
| Dec 31, 2025 | 232.67 Mn |
| Sep 30, 2025 | 219.40 Mn |
| Jun 30, 2025 | 212.00 Mn |
| Mar 31, 2025 | 373.03 Mn |
| Dec 31, 2024 | 370.06 Mn |
| Sep 30, 2024 | 358.89 Mn |
| Jun 30, 2024 | 349.54 Mn |
| Mar 31, 2024 | 444.63 Mn |
| Dec 31, 2023 | 523.03 Mn |
| Sep 30, 2023 | 559.44 Mn |
| Jun 30, 2023 | 549.73 Mn |
| Mar 31, 2023 | 532.28 Mn |
| Dec 31, 2022 | 568.20 Mn |
| Sep 30, 2022 | 684.21 Mn |
| Jun 30, 2022 | 820.97 Mn |
| Mar 31, 2022 | 859.24 Mn |
| Dec 31, 2021 | 901.89 Mn |
| Sep 30, 2021 | 718.62 Mn |
API Access
SkinHealth Systems Cash & Equivalents 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=cash-and-equivalents&ticker=SKIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "SKIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();