Shoulder Innovations (SI) Interest Expenses (2024 - 2026)
Shoulder Innovations (SI) posted Interest Expenses of -$673,000 for Q2 2026, compared with $216,000 a year earlier.
Shoulder Innovations (SI) Interest Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Shoulder Innovations was -$1.62 million; for FY2025, it was $70,000, down 94.7% from FY2024.
- In prior years, Shoulder Innovations' Interest Expenses was $1.32 million in FY2024.
- The Q2 2026 figure stands as the lowest quarterly Interest Expenses in data going back to Q2 2024.
- According to Business Quant data, Interest Expenses for the three prior quarters was -$436,000 (Q1 2026), -$591,000 (Q4 2025) and $78,000 (Q3 2025).
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 | Shoulder Innovations | 391.88 Mn | -77.25 Mn | 13.44 Mn | -673,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -673,000.00 |
| Mar 31, 2026 | -436,000.00 |
| Dec 31, 2025 | -591,000.00 |
| Sep 30, 2025 | 78,000.00 |
| Jun 30, 2025 | 216,000.00 |
| Mar 31, 2025 | 367,000.00 |
| Dec 31, 2024 | 391,000.00 |
| Sep 30, 2024 | 316,000.00 |
| Jun 30, 2024 | 292,000.00 |
Shoulder Innovations 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=SI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SI", "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=SI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();