Cryoport (CYRX) Other Operating Expenses (2015 - 2024)
Cryoport (CYRX) posted Other Operating Expenses of $63.81 million for FY2024, up 28.7% from $49.57 million in FY2023.
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Analysis
Cryoport (CYRX) Other Operating Expenses (2015 - 2024) Analysis & Trends
Since FY2015, Cryoport has reported Other Operating Expenses for 6 years.
- The FY2024 figure stands as the highest annual Other Operating Expenses in data going back to FY2015.
- Business Quant data shows CYRX's Other Operating Expenses at $49.57 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 179.89 Bn | 172.14 Bn | - |
| 2 | Csx | 96.12 Bn | 91.34 Bn | - |
| 3 | United Parcel Service | 92.16 Bn | 69.05 Bn | - |
| 4 | Canadian Pacific Kansas City | 79.39 Bn | 79.39 Bn | - |
| 5 | Norfolk Southern | 76.81 Bn | 71.27 Bn | - |
| 6 | Fedex | 74.29 Bn | 40.49 Bn | - |
| 7 | Delta Air Lines | 52.21 Bn | 34.40 Bn | - |
| 8 | Old Dominion Freight Line | 35.82 Bn | 35.82 Bn | - |
| 9 | United Airlines Holdings | 33.62 Bn | -24.08 Bn | - |
| 10 | Cryoport | 871.15 Mn | -761.70 Mn | 22.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 63.81 Mn |
| Dec 31, 2023 | 49.57 Mn |
| Dec 31, 2019 | -11.21 Mn |
| Sep 30, 2019 | 5.96 Mn |
| Jun 30, 2019 | 2.84 Mn |
| Mar 31, 2019 | 2.41 Mn |
| Dec 31, 2018 | 1.99 Mn |
| Sep 30, 2018 | 1.82 Mn |
| Jun 30, 2018 | 1.85 Mn |
| Mar 31, 2018 | 1.58 Mn |
| Dec 31, 2017 | 1.57 Mn |
| Sep 30, 2017 | 1.35 Mn |
| Jun 30, 2017 | 1.24 Mn |
| Mar 31, 2017 | 1.07 Mn |
| Sep 30, 2016 | 1.24 Mn |
| Jun 30, 2016 | 1.20 Mn |
| Mar 31, 2016 | 1.25 Mn |
| Jun 30, 2015 | 884,609.00 |
| Mar 31, 2015 | 2.91 Mn |
API Access
Cryoport Other Operating Expenses 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=other-operating-expenses&ticker=CYRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();