Cryoport (CYRX) Operating Leases (2019 - 2026)
Cryoport (CYRX) posted Operating Leases of $40.08 million for Q2 2026, up 7.0% from $37.44 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Cryoport (CYRX) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, Cryoport's Operating Leases came in at $39.08 million, up 1.4% from FY2024.
- Annual Operating Leases has increased for six consecutive years, with a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- In prior years, Cryoport's Operating Leases was $38.55 million in FY2024 (+31.3%), $29.36 million in FY2023 (+18.7%), $24.72 million in FY2022 (+36.2%) and $18.14 million in FY2021 (+48.0%).
- The Q2 2026 figure stands as the highest quarterly Operating Leases in data going back to Q1 2019.
- On a year-over-year basis, Operating Leases has increased in each of the last seven quarters, with growth averaging 19.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q3 2021, with growth of 109.3%; the weakest was Q3 2024, with a decline of 11.1%.
- According to Business Quant data, Operating Leases for the three prior quarters was $39.17 million (Q1 2026), $39.08 million (Q4 2025) and $39.38 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn |
| 10 | Cryoport | 877.23 Mn | -755.62 Mn | 22.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.08 Mn |
| Mar 31, 2026 | 39.17 Mn |
| Dec 31, 2025 | 39.08 Mn |
| Sep 30, 2025 | 39.38 Mn |
| Jun 30, 2025 | 37.44 Mn |
| Mar 31, 2025 | 38.10 Mn |
| Dec 31, 2024 | 38.55 Mn |
| Sep 30, 2024 | 26.47 Mn |
| Jun 30, 2024 | 26.52 Mn |
| Mar 31, 2024 | 27.80 Mn |
| Dec 31, 2023 | 29.36 Mn |
| Sep 30, 2023 | 29.76 Mn |
| Jun 30, 2023 | 27.52 Mn |
| Mar 31, 2023 | 27.84 Mn |
| Dec 31, 2022 | 24.72 Mn |
| Sep 30, 2022 | 23.11 Mn |
| Jun 30, 2022 | 21.11 Mn |
| Mar 31, 2022 | 15.49 Mn |
| Dec 31, 2021 | 18.14 Mn |
| Sep 30, 2021 | 16.36 Mn |
API Access
Cryoport Operating Leases 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=operating-leases&ticker=CYRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();