Cryoport (CYRX) Return on Capital Employed [ROCE] (2011 - 2026)
Cryoport's Return on Capital Employed [ROCE] was -7.35% in Q2 2026, down 1.27 percentage points from -6.08% a year earlier and down 0.08 percentage points from the prior quarter.
Cryoport (CYRX) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Cryoport came in at -7.14%, up 8.74 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of +2.56 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -15.88% in FY2024 (-5.33 pp), -10.55% in FY2023 (-7.47 pp), -3.08% in FY2022 (-0.83 pp) and -2.26% in FY2021 (+7.45 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q1 2025.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in four of the last eight quarters, with an average year-over-year change of +2.74 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2025 (a gain of 17.63 percentage points); the worst was Q3 2024 (a drop of 17.14 percentage points).
- Per Business Quant data, CYRX's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -7.27% (Q1 2026), -6.68% (Q4 2025) and -5.32% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 15.69% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 12.29% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 6.84% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 9.67% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 11.61% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 7.01% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 10.65% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 28.03% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 8.86% |
| 10 | Cryoport | 882.80 Mn | -750.05 Mn | 22.82 Mn | -7.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.35% |
| Mar 31, 2026 | -7.27% |
| Dec 31, 2025 | -6.68% |
| Sep 30, 2025 | -5.32% |
| Jun 30, 2025 | -6.08% |
| Mar 31, 2025 | -17.74% |
| Dec 31, 2024 | -19.07% |
| Sep 30, 2024 | -22.94% |
| Jun 30, 2024 | -20.02% |
| Mar 31, 2024 | -11.98% |
| Dec 31, 2023 | -10.77% |
| Sep 30, 2023 | -5.80% |
| Jun 30, 2023 | -4.73% |
| Mar 31, 2023 | -3.41% |
| Dec 31, 2022 | -3.21% |
| Sep 30, 2022 | -2.93% |
| Jun 30, 2022 | -2.55% |
| Mar 31, 2022 | -2.33% |
| Dec 31, 2021 | -1.93% |
| Sep 30, 2021 | -2.46% |
Cryoport Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=CYRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();