XBiotech (XBIT) Shares Outstanding (Diluted) (2017 - 2026)
XBiotech (XBIT) posted Weighted Average Shares Outstanding (Diluted) of 30.49 million for Q2 2026, up 0.1% from 30.46 million a year earlier.
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Analysis
XBiotech (XBIT) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
Since Q4 2017, XBiotech has reported Weighted Average Shares Outstanding (Diluted) for 34 quarters.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In prior years, XBiotech's Weighted Average Shares Outstanding (Diluted) was 30.46 million in FY2024 (+0.1%), 30.44 million in FY2023 (unchanged), 30.44 million in FY2022 (+1.3%) and 30.04 million in FY2021 (-2.5%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 30.04 million in Q4 2021 to a high of 30.82 million in Q3 2021 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) increased in six of the last seven quarters, with growth averaging 0.1%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding (Diluted) in the past five years was Q3 2023, with growth of 1.3%; the weakest was Q3 2021, with a decline of 33.5%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 5.75 Bn |
| 10 | XBiotech | 58.23 Mn | -439.75 Mn | - | 30.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.49 Mn |
| Dec 31, 2025 | 30.49 Mn |
| Sep 30, 2025 | 30.46 Mn |
| Jun 30, 2025 | 30.46 Mn |
| Mar 31, 2025 | 30.46 Mn |
| Dec 31, 2024 | 30.46 Mn |
| Sep 30, 2024 | 30.44 Mn |
| Jun 30, 2024 | 30.44 Mn |
| Mar 31, 2024 | 30.44 Mn |
| Dec 31, 2023 | 30.44 Mn |
| Sep 30, 2023 | 30.44 Mn |
| Jun 30, 2023 | 30.44 Mn |
| Mar 31, 2023 | 30.44 Mn |
| Dec 31, 2022 | 30.44 Mn |
| Sep 30, 2022 | 30.04 Mn |
| Jun 30, 2022 | 30.04 Mn |
| Mar 31, 2022 | 30.04 Mn |
| Dec 31, 2021 | 30.04 Mn |
| Sep 30, 2021 | 30.82 Mn |
| Jun 30, 2021 | 30.82 Mn |
API Access
XBiotech 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=XBIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "XBIT", "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=XBIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();