Shoulder Innovations (SI) Inventory (2024 - 2026)
Shoulder Innovations' Inventory was $22.92 million in Q2 2026, up 34.2% from $17.08 million a year earlier and up 5.0% from the prior quarter.
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Analysis
Shoulder Innovations (SI) Inventory (2024 - 2026) Analysis & Trends
At the end of FY2025, Inventory at Shoulder Innovations came in at $21.59 million, up 54.7% from FY2024.
- In earlier years, Inventory was $13.96 million in FY2024.
- Per Business Quant data, SI's Inventory in the three quarters before Q2 2026 was $21.83 million (Q1 2026), $21.59 million (Q4 2025) and $19.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Shoulder Innovations | 392.92 Mn | -76.20 Mn | 13.44 Mn | 22.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.92 Mn |
| Mar 31, 2026 | 21.83 Mn |
| Dec 31, 2025 | 21.59 Mn |
| Sep 30, 2025 | 19.36 Mn |
| Jun 30, 2025 | 17.08 Mn |
| Dec 31, 2024 | 13.96 Mn |
API Access
Shoulder Innovations Inventory 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=inventory&ticker=SI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=SI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();