Cryoport (CYRX) Shares Outstanding (Entity) (2010 - 2026)
Cryoport (CYRX) posted Shares Outstanding (Entity) of 50.65 million for Q2 2026, up 0.7% from 50.28 million a year earlier and up 0.9% from the prior quarter.
Cryoport (CYRX) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2025, Cryoport's Shares Outstanding (Entity) came in at 49.85 million, down 0.1% from FY2024.
- Annual Shares Outstanding (Entity) shows a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- In prior years, Cryoport's Shares Outstanding (Entity) was 49.91 million in FY2024 (+1.9%), 48.97 million in FY2023 (+1.3%), 48.33 million in FY2022 (-2.6%) and 49.62 million in FY2021 (+24.5%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Entity) in data going back to Q1 2016.
- On a year-over-year basis, Shares Outstanding (Entity) increased in seven of the last eight quarters, with growth averaging 1.1%.
- The strongest year-over-year quarter for Shares Outstanding (Entity) in the past five years was Q4 2021, with growth of 24.5%; the weakest was Q4 2022, with a decline of 2.6%.
- According to Business Quant data, Shares Outstanding (Entity) for the three prior quarters was 50.2 million (Q1 2026), 49.85 million (Q4 2025) and 50.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 179.89 Bn | 172.14 Bn | - | 594.22 Mn |
| 2 | Csx | 96.12 Bn | 91.34 Bn | - | 1.84 Bn |
| 3 | United Parcel Service | 92.16 Bn | 69.05 Bn | - | 749.35 Mn |
| 4 | Canadian Pacific Kansas City | 79.39 Bn | 79.39 Bn | - | - |
| 5 | Norfolk Southern | 76.81 Bn | 71.27 Bn | - | 224.62 Mn |
| 6 | Fedex | 74.29 Bn | 40.49 Bn | - | 236.58 Mn |
| 7 | Delta Air Lines | 52.21 Bn | 34.40 Bn | - | 657.91 Mn |
| 8 | Old Dominion Freight Line | 35.82 Bn | 35.82 Bn | - | - |
| 9 | United Airlines Holdings | 33.62 Bn | -24.08 Bn | - | 324.89 Mn |
| 10 | Cryoport | 871.15 Mn | -761.70 Mn | 22.82 Mn | 50.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.65 Mn |
| Mar 31, 2026 | 50.20 Mn |
| Dec 31, 2025 | 49.85 Mn |
| Sep 30, 2025 | 50.07 Mn |
| Jun 30, 2025 | 50.28 Mn |
| Mar 31, 2025 | 50.14 Mn |
| Dec 31, 2024 | 49.91 Mn |
| Sep 30, 2024 | 49.43 Mn |
| Jun 30, 2024 | 49.41 Mn |
| Mar 31, 2024 | 49.26 Mn |
| Dec 31, 2023 | 48.97 Mn |
| Sep 30, 2023 | 48.96 Mn |
| Jun 30, 2023 | 48.88 Mn |
| Mar 31, 2023 | 48.50 Mn |
| Dec 31, 2022 | 48.33 Mn |
| Sep 30, 2022 | 48.56 Mn |
| Jun 30, 2022 | 48.48 Mn |
| Mar 31, 2022 | 49.45 Mn |
| Dec 31, 2021 | 49.62 Mn |
| Sep 30, 2021 | 46.21 Mn |
Cryoport Shares Outstanding (Entity) 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-entity&ticker=CYRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "CYRX", "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-entity&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();