Cue Biopharma (CUE) Return on Sales [ROS] (2018 - 2026)
Cue Biopharma's Return on Sales [ROS] came in at -1113.30% for Q2 2026, down 820.99 percentage points from -292.32% a year earlier.
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Analysis
Cue Biopharma (CUE) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cue Biopharma reported Return on Sales [ROS] of -291.93%, up 183.30 percentage points year-over-year; for FY2025, it came in at -96.67%, up 350.19 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +1331.29 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -446.86% in FY2024 (+503.03 pp), -949.89% in FY2023 (+3325.21 pp), -4275.10% in FY2022 (-3982.54 pp) and -292.56% in FY2021 (+1135.41 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Year-over-year, Return on Sales [ROS] increased in four of the last seven quarters, with an average year-over-year change of -278.19 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 49368.08 percentage points), and the weakest in Q2 2022 (a drop of 49969.99 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | 28.37% |
| 10 | Cue Biopharma | 97.58 Mn | 6.85 Mn | - | -1,113.30% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1,113.30% |
| Dec 31, 2025 | 9.01% |
| Sep 30, 2025 | -353.42% |
| Jun 30, 2025 | -292.32% |
| Mar 31, 2025 | -2,921.38% |
| Dec 31, 2024 | -611.23% |
| Sep 30, 2024 | -264.24% |
| Jun 30, 2024 | -390.63% |
| Mar 31, 2024 | -737.80% |
| Dec 31, 2023 | -759.58% |
| Sep 30, 2023 | -543.76% |
| Jun 30, 2023 | -978.08% |
| Mar 31, 2023 | -7,155.08% |
| Dec 31, 2022 | -9,845.03% |
| Sep 30, 2022 | -16,222.06% |
| Jun 30, 2022 | -50,346.15% |
| Mar 31, 2022 | -1,423.80% |
| Dec 31, 2021 | -95.62% |
| Sep 30, 2021 | -543.55% |
| Jun 30, 2021 | -376.16% |
API Access
Cue Biopharma 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=CUE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CUE", "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=CUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();