Shoulder Innovations (SI) Net Cash Flow (2024 - 2026)
Shoulder Innovations (SI) reported Net Cash Flow of $12.97 million for Q2 2026, down 37.3% from $20.68 million a year earlier.
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Analysis
Shoulder Innovations (SI) Net Cash Flow (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Shoulder Innovations' Net Cash Flow came in at -$2.59 million; for FY2025, it came in at $20.75 million.
- By year, Net Cash Flow came in at -$113,000 in FY2024.
- Five-year quarterly Net Cash Flow spans a low of -$28.06 million in Q4 2025 and a high of $27.88 million in Q3 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at -$15.38 million (Q1 2026), -$28.06 million (Q4 2025) and $27.88 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 718.00 Mn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | -1.70 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | -1.34 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 746.50 Mn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | -169.00 Mn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 527.00 Mn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | -892.00 Mn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | -42.00 Mn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 458.40 Mn |
| 10 | Shoulder Innovations | 400.82 Mn | -68.30 Mn | 13.44 Mn | 12.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.97 Mn |
| Mar 31, 2026 | -15.38 Mn |
| Dec 31, 2025 | -28.06 Mn |
| Sep 30, 2025 | 27.88 Mn |
| Jun 30, 2025 | 20.68 Mn |
| Mar 31, 2025 | 247,000.00 |
| Dec 31, 2024 | 378,000.00 |
| Sep 30, 2024 | 80,000.00 |
API Access
Shoulder Innovations Net Cash Flow 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=net-cash-flow&ticker=SI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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=net-cash-flow&ticker=SI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();