Z Squared (ZSQR) Shares Outstanding (Diluted) (2020 - 2026)
Z Squared's Shares Outstanding (Diluted) came in at 49.76 million for Q2 2026, compared with 3.71 million a year earlier and up 724.9% from the prior quarter.
Z Squared (ZSQR) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Z Squared's Shares Outstanding (Diluted) was 4.23 million, up 120.0% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 17.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 1.92 million in FY2024 (-92.5%), 25.69 million in FY2023 (+79.7%), 14.3 million in FY2022 (+31.0%) and 10.91 million in FY2021 (+482.1%).
- The Q2 2026 figure represents the highest quarterly Shares Outstanding (Diluted) in data going back to Q3 2020.
- Year-over-year, Shares Outstanding (Diluted) increased in three of the last seven quarters, with an average decline of 13.8%.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q1 2022 (growth of 572.3%), and the weakest in Q4 2024 (a decline of 92.5%).
- Business Quant data shows ZSQR's Shares Outstanding (Diluted) at 6.03 million (Q1 2026), 4.23 million (Q4 2025) and 4.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 893.70 Mn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.44 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.77 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.47 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 1.56 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 544.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.24 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 5.70 Bn |
| 10 | Z Squared | 210.41 Mn | 183.65 Mn | -1.77 Mn | 49.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.76 Mn |
| Mar 31, 2026 | 6.03 Mn |
| Dec 31, 2025 | 4.23 Mn |
| Sep 30, 2025 | 4.75 Mn |
| Jun 30, 2025 | 3.71 Mn |
| Mar 31, 2025 | 3.07 Mn |
| Dec 31, 2024 | 1.92 Mn |
| Sep 30, 2024 | 39.81 Mn |
| Jun 30, 2024 | 37.57 Mn |
| Mar 31, 2024 | 35.54 Mn |
| Dec 31, 2023 | 25.69 Mn |
| Sep 30, 2023 | 26.65 Mn |
| Jun 30, 2023 | 21.81 Mn |
| Mar 31, 2023 | 20.08 Mn |
| Dec 31, 2022 | 14.30 Mn |
| Sep 30, 2022 | 10.23 Mn |
| Jun 30, 2022 | 6.30 Mn |
| Mar 31, 2022 | 12.61 Mn |
| Dec 31, 2021 | 10.91 Mn |
| Sep 30, 2021 | 9.38 Mn |
Z Squared 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=ZSQR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ZSQR", "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=ZSQR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();