Cryoport (CYRX) Cash & Equivalents (2010 - 2026)
Cryoport (CYRX) posted Cash & Equivalents of $269.27 million for Q2 2026, up 10.6% from $243.42 million a year earlier but down 1.3% from the prior quarter.
Cryoport (CYRX) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cryoport's Cash & Equivalents came in at $250.49 million, up 453.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 46.7% (FY2020 to FY2025).
- In prior years, Cryoport's Cash & Equivalents was $45.29 million in FY2024 (-2.3%), $46.35 million in FY2023 (+26.6%), $36.6 million in FY2022 (-73.7%) and $139.1 million in FY2021 (+277.2%).
- Quarterly Cash & Equivalents has run from a low of $30.72 million in Q3 2022 to a high of $272.91 million in Q1 2026 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last five quarters, with growth averaging 225.6% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2026, with growth of 476.2%; the weakest was Q4 2022, with a decline of 73.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $272.91 million (Q1 2026), $250.49 million (Q4 2025) and $255.81 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 2.21 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 6.84 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 1.22 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 281.16 Mn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 13.06 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 1.60 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 3.79 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 6.65 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 466.22 Mn |
| 10 | Cryoport | 967.24 Mn | -637.37 Mn | 23.83 Mn | 279.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 279.18 Mn |
| Jun 30, 2026 | 269.27 Mn |
| Mar 31, 2026 | 272.91 Mn |
| Dec 31, 2025 | 250.49 Mn |
| Sep 30, 2025 | 255.81 Mn |
| Jun 30, 2025 | 243.42 Mn |
| Mar 31, 2025 | 47.36 Mn |
| Dec 31, 2024 | 45.29 Mn |
| Sep 30, 2024 | 44.67 Mn |
| Jun 30, 2024 | 46.46 Mn |
| Mar 31, 2024 | 49.66 Mn |
| Dec 31, 2023 | 46.35 Mn |
| Sep 30, 2023 | 59.47 Mn |
| Jun 30, 2023 | 67.31 Mn |
| Mar 31, 2023 | 38.54 Mn |
| Dec 31, 2022 | 36.60 Mn |
| Sep 30, 2022 | 30.72 Mn |
| Jun 30, 2022 | 37.03 Mn |
| Mar 31, 2022 | 134.45 Mn |
| Dec 31, 2021 | 139.10 Mn |
Cryoport Cash & Equivalents 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=cash-and-equivalents&ticker=CYRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();