Xencor (XNCR) Shares Outstanding (Diluted) (2013 - 2026)
Xencor (XNCR) recorded Weighted Average Shares Outstanding (Diluted) of 75.86 million in Q2 2026, up 2.1% from 74.28 million a year earlier and up 0.8% from the prior quarter.
Xencor (XNCR) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, Xencor reported Weighted Average Shares Outstanding (Diluted) of 74.24 million, up 14.1% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for three straight years, with a five-year compound annual growth rate of 5.3% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 65.04 million in FY2024 (+7.5%), 60.5 million in FY2023 (+1.4%), 59.65 million in FY2022 (-1.4%) and 60.5 million in FY2021 (+5.7%).
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q1 2013.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased for 13 consecutive quarters, with growth averaging 11.1% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 20.4% in Q2 2025, against a decline of 2.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 75.25 million (Q1 2026), 74.24 million (Q4 2025) and 74.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Xencor | 2.94 Bn | 1.37 Bn | - | 78.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 78.35 Mn |
| Jun 30, 2026 | 75.86 Mn |
| Mar 31, 2026 | 75.25 Mn |
| Dec 31, 2025 | 74.24 Mn |
| Sep 30, 2025 | 74.41 Mn |
| Jun 30, 2025 | 74.28 Mn |
| Mar 31, 2025 | 73.67 Mn |
| Dec 31, 2024 | 65.04 Mn |
| Sep 30, 2024 | 64.02 Mn |
| Jun 30, 2024 | 61.68 Mn |
| Mar 31, 2024 | 61.21 Mn |
| Dec 31, 2023 | 60.50 Mn |
| Sep 30, 2023 | 60.62 Mn |
| Jun 30, 2023 | 59.81 Mn |
| Mar 31, 2023 | 59.77 Mn |
| Dec 31, 2022 | 59.65 Mn |
| Sep 30, 2022 | 59.72 Mn |
| Jun 30, 2022 | 59.57 Mn |
| Mar 31, 2022 | 61.08 Mn |
| Dec 31, 2021 | 60.50 Mn |
Xencor 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=XNCR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "XNCR", "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=XNCR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();