Cryoport (CYRX) Prepaid Assets (2011 - 2026)
Cryoport's (CYRX) quarterly Prepaid Assets came in at $5.6 million in Q2 2026, down 21.51% year-over-year from $7.1 million in Q2 2025, and down 9.71% quarter-over-quarter from $6.1 million in Q1 2026.
Cryoport (CYRX) Prepaid Assets (2011 - 2026) Analysis & Trends
Cryoport (CYRX) has reported Prepaid Assets for 16 consecutive years, with $5.6 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Prepaid Assets fell 21.51% year-over-year to $5.6 million in Q2 2026; TTM through Jun 2026 was $5.6 million, a 21.51% decrease from a year earlier, with the FY2025 full-year figure at $8.4 million, up 5.99% from the prior year.
- Prepaid Assets was $5.6 million for Q2 2026 at Cryoport, down from $6.1 million in the prior quarter.
- Over five years, Prepaid Assets peaked at $11.5 million in Q3 2023 and troughed at $5.3 million in Q3 2025.
- A 5-year average of $8.7 million and a median of $8.5 million in 2023 frame the typical range for Prepaid Assets.
- Across the five-year window, Prepaid Assets slumped 54.76% in 2022 and rose 28.54% in 2024, its largest moves.
- Over 5 years, Prepaid Assets stood at $9.3 million in 2022, then gained by 8.16% to $10.1 million in 2023, then retreated by 21.18% to $7.9 million in 2024, then climbed by 5.99% to $8.4 million in 2025, then plunged by 34.08% to $5.6 million in 2026.
- The last three Prepaid Assets figures came in at $5.6 million (Q2 2026), $6.1 million (Q1 2026), and $8.4 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn |
| 2 | Expeditors International Of Washington | 24.83 Bn | 23.80 Bn | 1.09 Bn |
| 3 | C. H. Robinson Worldwide | 17.92 Bn | 17.76 Bn | 1.11 Bn |
| 4 | Rb Global | 15.40 Bn | 14.87 Bn | 935.50 Mn |
| 5 | Ryder System | 9.14 Bn | 9.14 Bn | 1.45 Bn |
| 6 | Landstar System | 5.78 Bn | 5.43 Bn | 308.86 Mn |
| 7 | GXO Logistics | 5.27 Bn | 4.53 Bn | 508.00 Mn |
| 8 | Rxo | 3.34 Bn | 3.32 Bn | 302.00 Mn |
| 9 | Hub | 1.98 Bn | 1.89 Bn | 250.84 Mn |
| 10 | Cryoport | 862.04 Mn | 465.34 Mn | 22.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.55 Mn |
| Mar 31, 2026 | 6.15 Mn |
| Dec 31, 2025 | 8.42 Mn |
| Sep 30, 2025 | 5.29 Mn |
| Jun 30, 2025 | 7.07 Mn |
| Mar 31, 2025 | 7.44 Mn |
| Dec 31, 2024 | 7.94 Mn |
| Sep 30, 2024 | 10.66 Mn |
| Jun 30, 2024 | 11.08 Mn |
| Mar 31, 2024 | 10.89 Mn |
| Dec 31, 2023 | 10.08 Mn |
| Sep 30, 2023 | 11.55 Mn |
| Jun 30, 2023 | 8.62 Mn |
| Mar 31, 2023 | 9.96 Mn |
| Dec 31, 2022 | 9.32 Mn |
| Sep 30, 2022 | 10.64 Mn |
| Jun 30, 2022 | 8.25 Mn |
| Mar 31, 2022 | 8.36 Mn |
| Dec 31, 2021 | 8.80 Mn |
| Sep 30, 2021 | 8.96 Mn |
Cryoport Prepaid Assets 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=prepaid-assets&ticker=CYRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();