SkinHealth Systems (SKIN) Interest Expenses (2022 - 2026)
SkinHealth Systems (SKIN) recorded Interest Expenses of $6.3 million in Q2 2026, up 51.9% from $4.14 million a year earlier but down 0.8% from the prior quarter.
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Analysis
SkinHealth Systems (SKIN) Interest Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, SkinHealth Systems' Interest Expenses came in at $25.33 million as of Jun 30, 2026, up 118.8% year-over-year; for FY2025, it was $19.33 million, up 85.6% from FY2024.
- Annual Interest Expenses has a four-year compound annual growth rate of 13.2% (FY2021 to FY2025).
- Across earlier years, Interest Expenses came in at $10.41 million in FY2024 (-23.7%), $13.65 million in FY2023 (+1.9%), $13.39 million in FY2022 (+13.7%) and $11.78 million in FY2021.
- Quarterly Interest Expenses has ranged from $2.45 million in Q2 2024 to $6.37 million in Q4 2025 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for five consecutive quarters, with growth averaging 64.6% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 158.7% in Q4 2025, against a decline of 28.5% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.35 million (Q1 2026), $6.37 million (Q4 2025) and $6.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | SkinHealth Systems | 81.97 Mn | -780.54 Mn | 49.34 Mn | 6.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.30 Mn |
| Mar 31, 2026 | 6.35 Mn |
| Dec 31, 2025 | 6.37 Mn |
| Sep 30, 2025 | 6.31 Mn |
| Jun 30, 2025 | 4.14 Mn |
| Mar 31, 2025 | 2.50 Mn |
| Dec 31, 2024 | 2.46 Mn |
| Sep 30, 2024 | 2.47 Mn |
| Jun 30, 2024 | 2.45 Mn |
| Mar 31, 2024 | 3.03 Mn |
| Dec 31, 2023 | 3.36 Mn |
| Sep 30, 2023 | 3.45 Mn |
| Jun 30, 2023 | 3.43 Mn |
| Mar 31, 2023 | 3.42 Mn |
| Dec 31, 2022 | 3.40 Mn |
| Sep 30, 2022 | 3.38 Mn |
| Jun 30, 2022 | 3.22 Mn |
| Mar 31, 2022 | 3.40 Mn |
API Access
SkinHealth Systems Interest 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=interest-expenses&ticker=SKIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SKIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();