ARS Pharmaceuticals (SPRY) Shares Outstanding (Diluted) (2021 - 2026)
ARS Pharmaceuticals (SPRY) posted Shares Outstanding (Diluted) of 99.31 million for Q2 2026, up 1.0% from 98.36 million a year earlier and unchanged from the prior quarter.
ARS Pharmaceuticals (SPRY) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2025, ARS Pharmaceuticals' Shares Outstanding (Diluted) came in at 98.57 million, down 3.7% from FY2024.
- Annual Shares Outstanding (Diluted) shows a four-year compound annual growth rate of 35.9% (FY2021 to FY2025).
- In prior years, ARS Pharmaceuticals' Shares Outstanding (Diluted) was 102.39 million in FY2024 (+7.5%), 95.22 million in FY2023 (+138.3%), 39.96 million in FY2022 (+38.4%) and 28.87 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) since Q4 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in seven of the last eight quarters, with growth averaging 1.6%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2023, with growth of 210.3%; the weakest was Q4 2025, with a decline of 3.7%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 99.3 million (Q1 2026), 98.57 million (Q4 2025) and 98.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | ARS Pharmaceuticals | 428.58 Mn | 284.78 Mn | 20.81 Mn | 99.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.31 Mn |
| Mar 31, 2026 | 99.30 Mn |
| Dec 31, 2025 | 98.57 Mn |
| Sep 30, 2025 | 98.81 Mn |
| Jun 30, 2025 | 98.36 Mn |
| Mar 31, 2025 | 98.06 Mn |
| Dec 31, 2024 | 102.39 Mn |
| Sep 30, 2024 | 97.03 Mn |
| Jun 30, 2024 | 96.83 Mn |
| Mar 31, 2024 | 96.49 Mn |
| Dec 31, 2023 | 95.22 Mn |
| Sep 30, 2023 | 95.58 Mn |
| Jun 30, 2023 | 94.91 Mn |
| Mar 31, 2023 | 94.23 Mn |
| Dec 31, 2022 | 39.96 Mn |
| Sep 30, 2022 | 35.46 Mn |
| Jun 30, 2022 | 30.61 Mn |
| Mar 31, 2022 | 30.37 Mn |
| Dec 31, 2021 | 28.87 Mn |
| Sep 30, 2021 | 35.00 Mn |
ARS Pharmaceuticals 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=SPRY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SPRY", "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=SPRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();