Shoulder Innovations (SI) EBITDA (2024 - 2026)
Shoulder Innovations' EBITDA came in at -$8.9 million for Q2 2026, compared with -$5.15 million a year earlier.
Shoulder Innovations (SI) EBITDA (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Shoulder Innovations reported EBITDA of -$31.07 million; for FY2025, it was -$23.09 million.
- Going back by year, EBITDA was -$12.46 million in FY2024.
- The Q2 2026 figure represents the lowest quarterly EBITDA in data going back to Q2 2024.
- Business Quant data shows SI's EBITDA at -$7.84 million (Q1 2026), -$7.52 million (Q4 2025) and -$6.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Shoulder Innovations | 400.82 Mn | -68.30 Mn | 13.44 Mn | -8.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.85 Mn |
| Mar 31, 2026 | -7.79 Mn |
| Dec 31, 2025 | -7.46 Mn |
| Sep 30, 2025 | -6.73 Mn |
| Jun 30, 2025 | -5.08 Mn |
| Mar 31, 2025 | -3.56 Mn |
| Dec 31, 2024 | -2.82 Mn |
| Sep 30, 2024 | -3.26 Mn |
| Jun 30, 2024 | -3.54 Mn |
Shoulder Innovations EBITDA 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=ebitda&ticker=SI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();