Cryoport (CYRX) Return on Sales [ROS] (2010 - 2026)
Cryoport (CYRX) posted Return on Sales [ROS] of -20.50% for Q2 2026, up 0.73 percentage points from -21.23% a year earlier but down 0.39 percentage points from the prior quarter.
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Analysis
Cryoport (CYRX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Cryoport was -21.25%, up 4.60 percentage points year-over-year; for FY2025, it came in at -20.89%, up 56.72 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +17.24 percentage points (FY2020 to FY2025).
- In prior years, Cryoport's Return on Sales [ROS] was -77.61% in FY2024 (-18.00 pp), -59.61% in FY2023 (-46.16 pp), -13.45% in FY2022 (-5.44 pp) and -8.01% in FY2021 (+30.12 pp).
- Quarterly Return on Sales [ROS] has run from a low of -196.50% in Q2 2024 to a high of -8.07% in Q3 2021 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +31.00 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2025, with a gain of 175.27 percentage points; the weakest was Q2 2024, with a drop of 164.35 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -20.11% (Q1 2026), -22.07% (Q4 2025) and -22.45% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | Cryoport | 882.80 Mn | -750.05 Mn | 22.82 Mn | -20.50% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -20.50% |
| Mar 31, 2026 | -20.11% |
| Dec 31, 2025 | -22.07% |
| Sep 30, 2025 | -22.45% |
| Jun 30, 2025 | -21.23% |
| Mar 31, 2025 | -17.53% |
| Dec 31, 2024 | -30.75% |
| Sep 30, 2024 | -34.94% |
| Jun 30, 2024 | -196.50% |
| Mar 31, 2024 | -46.95% |
| Dec 31, 2023 | -59.61% |
| Sep 30, 2023 | -30.11% |
| Jun 30, 2023 | -32.15% |
| Mar 31, 2023 | -15.99% |
| Dec 31, 2022 | -18.28% |
| Sep 30, 2022 | -12.91% |
| Jun 30, 2022 | -8.18% |
| Mar 31, 2022 | -14.95% |
| Dec 31, 2021 | -14.82% |
| Sep 30, 2021 | -8.07% |
API Access
Cryoport Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=CYRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=CYRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();