Si-Bone (SIBN) Shares Outstanding (Diluted) (2020 - 2026)
Si-Bone (SIBN) reported Weighted Average Shares Outstanding (Diluted) of 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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Si-Bone (SIBN) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Si-Bone posted Weighted Average Shares Outstanding (Diluted) of 42.96 million, up 3.6% from FY2024.
- Weighted Average 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, Weighted Average 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 Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q2 2020.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 22 quarters, with growth averaging 4.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 3.0% (Q3 2022) to 17.2% (Q1 2024).
- Per Business Quant data, the three quarters before Q3 2026 came in at 44.48 million (Q2 2026), 43.96 million (Q1 2026) and 42.96 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.74 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 706.80 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 351.60 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 384.70 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 | 577.60 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 1.32 Bn |
| 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 (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();