Xeris Biopharma Holdings (XERS) Shares Outstanding (Diluted) (2021 - 2026)
Xeris Biopharma Holdings (XERS) reported Shares Outstanding (Diluted) of 172.82 million for Q2 2026, up 8.4% from 159.46 million a year earlier but down 2.7% from the prior quarter.
Xeris Biopharma Holdings (XERS) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, Xeris Biopharma Holdings posted Shares Outstanding (Diluted) of 172.74 million, up 17.7% from FY2024.
- Shares Outstanding (Diluted) has increased for four consecutive years, with a four-year compound annual growth rate of 21.6% (FY2021 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 146.77 million in FY2024 (+6.6%), 137.67 million in FY2023 (+1.5%), 135.63 million in FY2022 (+71.6%) and 79.03 million in FY2021.
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 66.5 million in Q3 2021 and a high of 177.63 million in Q1 2026.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 18 quarters, with growth averaging 11.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding (Diluted) ranged from 1.3% (Q2 2023) to 120.5% (Q1 2022).
- Per Business Quant data, the three quarters before Q2 2026 came in at 177.63 million (Q1 2026), 172.74 million (Q4 2025) and 177.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Xeris Biopharma Holdings | 1.61 Bn | 1.17 Bn | 79.59 Mn | 172.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 172.82 Mn |
| Mar 31, 2026 | 177.63 Mn |
| Dec 31, 2025 | 172.74 Mn |
| Sep 30, 2025 | 177.62 Mn |
| Jun 30, 2025 | 159.46 Mn |
| Mar 31, 2025 | 152.45 Mn |
| Dec 31, 2024 | 146.77 Mn |
| Sep 30, 2024 | 148.99 Mn |
| Jun 30, 2024 | 148.35 Mn |
| Mar 31, 2024 | 140.51 Mn |
| Dec 31, 2023 | 137.67 Mn |
| Sep 30, 2023 | 138.06 Mn |
| Jun 30, 2023 | 137.34 Mn |
| Mar 31, 2023 | 137.14 Mn |
| Dec 31, 2022 | 135.63 Mn |
| Sep 30, 2022 | 135.95 Mn |
| Jun 30, 2022 | 135.53 Mn |
| Mar 31, 2022 | 135.03 Mn |
| Dec 31, 2021 | 79.03 Mn |
| Sep 30, 2021 | 66.50 Mn |
Xeris Biopharma Holdings 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=XERS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "XERS", "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=XERS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();