Cryoport (CYRX) Total Liabilities (2011 - 2026)
Cryoport (CYRX) posted Total Liabilities of $265.51 million for Q2 2026, up 4.2% from $254.85 million a year earlier but down 1.2% from the prior quarter.
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Analysis
Cryoport (CYRX) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Cryoport's Total Liabilities came in at $262.35 million, down 13.0% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In prior years, Cryoport's Total Liabilities was $301.59 million in FY2024 (-35.7%), $468.72 million in FY2023 (-2.9%), $482.91 million in FY2022 (+2.5%) and $471.14 million in FY2021 (+177.6%).
- Quarterly Total Liabilities has run from a low of $177.16 million in Q3 2021 to a high of $487.59 million in Q1 2023 over five years.
- On a year-over-year basis, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 22.7%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 177.6%; the weakest was Q2 2025, with a decline of 43.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $268.62 million (Q1 2026), $262.35 million (Q4 2025) and $261.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 177.39 Bn | 169.63 Bn | - | 50.59 Bn |
| 2 | Csx | 95.96 Bn | 91.18 Bn | - | 30.82 Bn |
| 3 | United Parcel Service | 89.80 Bn | 66.69 Bn | - | 56.17 Bn |
| 4 | Canadian Pacific Kansas City | 80.57 Bn | 79.59 Bn | - | 29.33 Bn |
| 5 | Norfolk Southern | 75.75 Bn | 70.21 Bn | - | 29.22 Bn |
| 6 | Fedex | 72.56 Bn | 38.51 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 53.01 Bn | 35.19 Bn | - | 63.54 Bn |
| 8 | Old Dominion Freight Line | 38.62 Bn | 37.88 Bn | - | 1.19 Bn |
| 9 | United Airlines Holdings | 33.72 Bn | -23.97 Bn | - | 67.37 Bn |
| 10 | Cryoport | 923.10 Mn | -709.75 Mn | 22.82 Mn | 265.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 265.51 Mn |
| Mar 31, 2026 | 268.62 Mn |
| Dec 31, 2025 | 262.35 Mn |
| Sep 30, 2025 | 261.06 Mn |
| Jun 30, 2025 | 254.85 Mn |
| Mar 31, 2025 | 301.03 Mn |
| Dec 31, 2024 | 301.59 Mn |
| Sep 30, 2024 | 283.19 Mn |
| Jun 30, 2024 | 452.25 Mn |
| Mar 31, 2024 | 470.66 Mn |
| Dec 31, 2023 | 468.72 Mn |
| Sep 30, 2023 | 463.13 Mn |
| Jun 30, 2023 | 486.40 Mn |
| Mar 31, 2023 | 487.59 Mn |
| Dec 31, 2022 | 482.91 Mn |
| Sep 30, 2022 | 478.07 Mn |
| Jun 30, 2022 | 477.91 Mn |
| Mar 31, 2022 | 471.90 Mn |
| Dec 31, 2021 | 471.14 Mn |
| Sep 30, 2021 | 177.16 Mn |
API Access
Cryoport Total Liabilities 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=total-liabilities&ticker=CYRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();