Quantum Cyber (QUCY) Shares Outstanding (2020 - 2026)
Quantum Cyber (QUCY) recorded Weighted Average Shares Outstanding of 63.68 million in Q3 2026, up 809.2% from 7 million a year earlier and up 256.7% from the prior quarter.
Quantum Cyber (QUCY) Shares Outstanding (2020 - 2026) Analysis & Trends
For FY2025, Quantum Cyber reported Weighted Average Shares Outstanding of 6 million, up 519.4% from FY2024.
- Annual Weighted Average Shares Outstanding has a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 968,234 in FY2024 (-94.0%), 16.24 million in FY2023 (+14.7%), 14.16 million in FY2022 (+96.3%) and 7.21 million in FY2021 (+28.6%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q4 2020.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for four consecutive quarters, with growth averaging 285.7% over the last six quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding in the last five years was growth of 809.2% in Q3 2026, against a decline of 94.0% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 17.85 million (Q2 2026), 11.8 million (Q1 2026) and 6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 370.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 703.80 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 382.20 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 576.30 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 876.47 Mn |
| 10 | Quantum Cyber | 40.12 Mn | 15.99 Mn | 93,590.00 | 63.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 63.68 Mn |
| Jun 30, 2026 | 17.85 Mn |
| Mar 31, 2026 | 11.80 Mn |
| Dec 31, 2025 | 6.00 Mn |
| Jun 30, 2025 | 4.37 Mn |
| Mar 31, 2025 | 3.43 Mn |
| Dec 31, 2024 | 968,234.00 |
| Jun 30, 2024 | 16.24 Mn |
| Dec 31, 2023 | 16.24 Mn |
| Sep 30, 2023 | 14.16 Mn |
| Jun 30, 2023 | 14.16 Mn |
| Mar 31, 2023 | 14.16 Mn |
| Dec 31, 2022 | 14.16 Mn |
| Sep 30, 2022 | 7.21 Mn |
| Jun 30, 2022 | 7.21 Mn |
| Mar 31, 2022 | 7.21 Mn |
| Dec 31, 2021 | 7.21 Mn |
| Dec 31, 2020 | 5.61 Mn |
Quantum Cyber 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=QUCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "QUCY", "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=QUCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();