Cryoport (CYRX) Property, Plant & Equipment (Net) (2011 - 2026)
Cryoport's Property, Plant & Equipment (Net) was $94.52 million in Q2 2026, up 15.9% from $81.57 million a year earlier and up 5.2% from the prior quarter.
Cryoport (CYRX) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Cryoport came in at $85.45 million, up 6.8% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $80.01 million in FY2024 (-5.7%), $84.86 million in FY2023 (+33.4%), $63.6 million in FY2022 (+29.7%) and $49.03 million in FY2021 (+63.2%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q1 2016.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for three straight quarters, with growth averaging 3.6% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q3 2021 (growth of 182.3%); the worst was Q1 2025 (a decline of 6.4%).
- Per Business Quant data, CYRX's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $89.81 million (Q1 2026), $85.45 million (Q4 2025) and $83.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 60.63 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 37.92 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 37.14 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 40.31 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 39.12 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 36.86 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 42.21 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 49.37 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 4.41 Bn |
| 10 | Cryoport | 967.24 Mn | -637.37 Mn | 23.83 Mn | 96.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 96.37 Mn |
| Jun 30, 2026 | 94.52 Mn |
| Mar 31, 2026 | 89.81 Mn |
| Dec 31, 2025 | 85.45 Mn |
| Sep 30, 2025 | 83.23 Mn |
| Jun 30, 2025 | 81.57 Mn |
| Mar 31, 2025 | 80.48 Mn |
| Dec 31, 2024 | 80.01 Mn |
| Sep 30, 2024 | 88.28 Mn |
| Jun 30, 2024 | 86.65 Mn |
| Mar 31, 2024 | 86.01 Mn |
| Dec 31, 2023 | 84.86 Mn |
| Sep 30, 2023 | 74.52 Mn |
| Jun 30, 2023 | 69.01 Mn |
| Mar 31, 2023 | 71.26 Mn |
| Dec 31, 2022 | 63.60 Mn |
| Sep 30, 2022 | 57.68 Mn |
| Jun 30, 2022 | 54.01 Mn |
| Mar 31, 2022 | 50.73 Mn |
| Dec 31, 2021 | 49.03 Mn |
Cryoport Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CYRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();