Si-Bone (SIBN) Shares Outstanding (Diluted) (2020 - 2026)
Si-Bone (SIBN) reported Shares Outstanding (Diluted) of 44.48 million for Q2 2026, up 3.9% from 42.79 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Si-Bone (SIBN) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Si-Bone posted Shares Outstanding (Diluted) of 42.96 million, up 3.6% from FY2024.
- Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 41.47 million in FY2024 (+7.9%), 38.43 million in FY2023 (+12.4%), 34.2 million in FY2022 (+3.2%) and 33.15 million in FY2021 (+14.1%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) in data going back to Q2 2020.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 21 quarters, with growth averaging 4.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 3.0% (Q3 2022) to 17.2% (Q1 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at 43.96 million (Q1 2026), 42.96 million (Q4 2025) and 43.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Si-Bone | 822.88 Mn | 238.68 Mn | 44.55 Mn | 44.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.48 Mn |
| Mar 31, 2026 | 43.96 Mn |
| Dec 31, 2025 | 42.96 Mn |
| Sep 30, 2025 | 43.19 Mn |
| Jun 30, 2025 | 42.79 Mn |
| Mar 31, 2025 | 42.34 Mn |
| Dec 31, 2024 | 41.47 Mn |
| Sep 30, 2024 | 41.72 Mn |
| Jun 30, 2024 | 41.32 Mn |
| Mar 31, 2024 | 40.93 Mn |
| Dec 31, 2023 | 38.43 Mn |
| Sep 30, 2023 | 40.27 Mn |
| Jun 30, 2023 | 37.86 Mn |
| Mar 31, 2023 | 34.92 Mn |
| Dec 31, 2022 | 34.20 Mn |
| Sep 30, 2022 | 34.36 Mn |
| Jun 30, 2022 | 34.05 Mn |
| Mar 31, 2022 | 33.79 Mn |
| Dec 31, 2021 | 33.15 Mn |
| Sep 30, 2021 | 33.34 Mn |
API Access
Si-Bone Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SIBN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-diluted&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();