Si-Bone (SIBN) Shares Outstanding (2017 - 2026)
Si-Bone's Weighted Average Shares Outstanding came in at 44.9 million for Q3 2026, up 4.0% from 43.19 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Si-Bone (SIBN) Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, Si-Bone's Weighted Average Shares Outstanding was 42.96 million, up 3.6% from FY2024.
- Weighted Average Shares Outstanding has increased in each of the last eight years, with a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 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 Q3 2026 figure represents the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2017.
- Year-over-year, Weighted Average Shares Outstanding has increased for 33 consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 3.0% (Q3 2022) and 17.2% (Q1 2024) over the last five years.
- Business Quant data shows SIBN's Weighted Average Shares Outstanding at 44.48 million (Q2 2026), 43.96 million (Q1 2026) and 42.96 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 370.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 703.80 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 382.20 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 576.30 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 876.47 Mn |
| 10 | Si-Bone | 1.13 Bn | 544.91 Mn | 44.17 Mn | 44.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 44.90 Mn |
| 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 |
API Access
Si-Bone Shares Outstanding 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&ticker=SIBN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SIBN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();