ARS Pharmaceuticals (SPRY) Shares Outstanding (2020 - 2026)
ARS Pharmaceuticals' Shares Outstanding came in at 99.31 million for Q2 2026, up 1.0% from 98.36 million a year earlier and unchanged from the prior quarter.
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Analysis
ARS Pharmaceuticals (SPRY) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, ARS Pharmaceuticals' Shares Outstanding was 98.57 million, up 1.7% from FY2024.
- Shares Outstanding has increased in each of the last four years, with a five-year compound annual growth rate of 102.3% (FY2020 to FY2025).
- Going back by year, Shares Outstanding was 96.94 million in FY2024 (+1.8%), 95.22 million in FY2023 (+138.3%), 39.96 million in FY2022 (+14.4%) and 34.93 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Shares Outstanding in data going back to Q1 2020.
- Year-over-year, Shares Outstanding has increased for 18 consecutive quarters, with growth averaging 1.5% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding ran from 0.7% in Q2 2022 to 170.2% in Q2 2023.
- Business Quant data shows SPRY's Shares Outstanding at 99.3 million (Q1 2026), 98.57 million (Q4 2025) and 98.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.41 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 | 1.94 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.55 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 540.00 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 | 253.70 Mn |
| 10 | ARS Pharmaceuticals | 428.58 Mn | 284.78 Mn | 20.81 Mn | 99.31 Mn |
Historic Data
Download Data
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 | 96.94 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 | 35.13 Mn |
| Mar 31, 2022 | 35.11 Mn |
| Dec 31, 2021 | 34.93 Mn |
| Sep 30, 2021 | 35.00 Mn |
API Access
ARS Pharmaceuticals Shares Outstanding 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&ticker=SPRY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SPRY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();