Cryoport (CYRX) Inventory (2011 - 2026)
Cryoport's (CYRX) quarterly Inventory came in at $21.5 million in Q2 2026, down 6.64% year-over-year from $23.0 million in Q2 2025, and down 1.12% quarter-over-quarter from $21.8 million in Q1 2026.
Cryoport (CYRX) Inventory (2011 - 2026) Analysis & Trends
Cryoport (CYRX) has reported Inventory for 16 consecutive years, with $21.5 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Inventory fell 6.64% year-over-year to $21.5 million in Q2 2026; TTM through Jun 2026 was $21.5 million, a 6.64% decrease from a year earlier, with the FY2025 full-year figure at $23.2 million, up 7.97% from the prior year.
- Inventory was $21.5 million for Q2 2026 at Cryoport, down from $21.8 million in the prior quarter.
- Over five years, Inventory peaked at $29.1 million in Q3 2023 and troughed at $21.5 million in Q4 2024.
- A 5-year average of $24.3 million and a median of $23.4 million in 2024 frame the typical range for Inventory.
- Across the five-year window, Inventory jumped 97.77% in 2022 and dropped 19.08% in 2024, its largest moves.
- Over 5 years, Inventory stood at $27.7 million in 2022, then retreated by 5.32% to $26.2 million in 2023, then slipped by 18.05% to $21.5 million in 2024, then advanced by 7.97% to $23.2 million in 2025, then decreased by 7.25% to $21.5 million in 2026.
- The last three Inventory figures came in at $21.5 million (Q2 2026), $21.8 million (Q1 2026), and $23.2 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 27.11 Bn | 23.77 Bn | 732.88 Mn | 49.63 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 | 137.90 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 | 21.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.51 Mn |
| Mar 31, 2026 | 21.75 Mn |
| Dec 31, 2025 | 23.19 Mn |
| Sep 30, 2025 | 23.33 Mn |
| Jun 30, 2025 | 23.04 Mn |
| Mar 31, 2025 | 23.34 Mn |
| Dec 31, 2024 | 21.48 Mn |
| Sep 30, 2024 | 23.55 Mn |
| Jun 30, 2024 | 23.61 Mn |
| Mar 31, 2024 | 25.02 Mn |
| Dec 31, 2023 | 26.21 Mn |
| Sep 30, 2023 | 29.10 Mn |
| Jun 30, 2023 | 28.82 Mn |
| Mar 31, 2023 | 26.49 Mn |
| Dec 31, 2022 | 27.68 Mn |
| Sep 30, 2022 | 24.54 Mn |
| Jun 30, 2022 | 23.07 Mn |
| Mar 31, 2022 | 22.06 Mn |
| Dec 31, 2021 | 16.50 Mn |
| Sep 30, 2021 | 13.48 Mn |
Cryoport Inventory 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=inventory&ticker=CYRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();