Cryoport (CYRX) Cost of Revenue (2010 - 2026)
Cryoport's (CYRX) quarterly Cost of Revenue came in at $26.1 million in Q2 2026, up 8.6% year-over-year from $24.1 million in Q2 2025, and up 1.01% quarter-over-quarter from $25.9 million in Q1 2026.
Cryoport (CYRX) Cost of Revenue (2010 - 2026) Analysis & Trends
Cryoport (CYRX) has reported Cost of Revenue for 17 consecutive years, with $26.1 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Cost of Revenue rose 8.6% year-over-year to $26.1 million in Q2 2026; TTM through Jun 2026 was $98.7 million, a 10.48% increase from a year earlier, with the FY2025 full-year figure at $93.1 million, up 6.9% from the prior year.
- Cost of Revenue was $26.1 million for Q2 2026 at Cryoport, up from $25.9 million in the prior quarter.
- Over five years, Cost of Revenue peaked at $35.7 million in Q1 2023 and troughed at -$6.6 million in Q4 2023.
- A 5-year average of $25.5 million and a median of $25.0 million in 2025 frame the typical range for Cost of Revenue.
- Across the five-year window, Cost of Revenue sank 119.35% in 2023 and soared 432.95% in 2024, its largest moves.
- Over 5 years, Cost of Revenue stood at $34.1 million in 2022, then slumped by 119.35% to -$6.6 million in 2023, then soared by 432.95% to $22.0 million in 2024, then grew by 8.11% to $23.7 million in 2025, then gained by 10.14% to $26.1 million in 2026.
- The last three Cost of Revenue figures came in at $26.1 million (Q2 2026), $25.9 million (Q1 2026), and $23.7 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 26.66 Bn | 23.33 Bn | 732.88 Mn | 504.19 Mn |
| 2 | Expeditors International Of Washington | 24.38 Bn | 23.35 Bn | 1.09 Bn | 2.42 Bn |
| 3 | C. H. Robinson Worldwide | 17.52 Bn | 17.36 Bn | 1.11 Bn | 3.83 Bn |
| 4 | Rb Global | 15.43 Bn | 14.90 Bn | 935.50 Mn | 381.60 Mn |
| 5 | Ryder System | 9.07 Bn | 9.07 Bn | 1.45 Bn | 1.90 Bn |
| 6 | Landstar System | 5.72 Bn | 5.38 Bn | 308.86 Mn | 1.12 Bn |
| 7 | GXO Logistics | 5.25 Bn | 4.52 Bn | 508.00 Mn | 2.93 Bn |
| 8 | Rxo | 3.26 Bn | 3.25 Bn | 302.00 Mn | 1.47 Bn |
| 9 | Hub | 1.94 Bn | 1.85 Bn | 250.84 Mn | 683.66 Mn |
| 10 | Cryoport | 889.89 Mn | 493.20 Mn | 22.82 Mn | 26.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.15 Mn |
| Mar 31, 2026 | 25.89 Mn |
| Dec 31, 2025 | 23.74 Mn |
| Sep 30, 2025 | 22.91 Mn |
| Jun 30, 2025 | 24.08 Mn |
| Mar 31, 2025 | 22.40 Mn |
| Dec 31, 2024 | 21.96 Mn |
| Sep 30, 2024 | 20.88 Mn |
| Jun 30, 2024 | 22.05 Mn |
| Mar 31, 2024 | 22.23 Mn |
| Dec 31, 2023 | -6.60 Mn |
| Sep 30, 2023 | 31.89 Mn |
| Jun 30, 2023 | 32.29 Mn |
| Mar 31, 2023 | 35.75 Mn |
| Dec 31, 2022 | 34.08 Mn |
| Sep 30, 2022 | 34.05 Mn |
| Jun 30, 2022 | 35.32 Mn |
| Mar 31, 2022 | 29.96 Mn |
| Dec 31, 2021 | 33.33 Mn |
| Sep 30, 2021 | 33.18 Mn |
Cryoport Cost of Revenue 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=cost-of-revenue&ticker=CYRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();