Cue Biopharma (CUE) Return on Capital Employed [ROCE] (2018 - 2026)
Cue Biopharma's Return on Capital Employed [ROCE] came in at -668.88% for Q2 2026, down 346.77 percentage points from -322.10% a year earlier.
Cue Biopharma (CUE) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2025, Cue Biopharma's Return on Capital Employed [ROCE] was -112.00%, up 13.11 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -46.96 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -125.11% in FY2024 (-37.20 pp), -87.90% in FY2023 (-17.68 pp), -70.22% in FY2022 (-14.67 pp) and -55.56% in FY2021 (+9.48 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q2 2018.
- Year-over-year, Return on Capital Employed [ROCE] increased in 1 of the last seven quarters, with an average year-over-year change of -118.35 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q4 2025 (a gain of 53.96 percentage points), and the weakest in Q2 2026 (a drop of 346.77 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 11.86% |
| 10 | Cue Biopharma | 117.65 Mn | 26.93 Mn | - | -668.88% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -668.88% |
| Dec 31, 2025 | -113.30% |
| Sep 30, 2025 | -184.79% |
| Jun 30, 2025 | -322.10% |
| Mar 31, 2025 | -350.80% |
| Dec 31, 2024 | -167.26% |
| Sep 30, 2024 | -170.65% |
| Jun 30, 2024 | -152.46% |
| Mar 31, 2024 | -129.72% |
| Dec 31, 2023 | -108.35% |
| Sep 30, 2023 | -98.82% |
| Jun 30, 2023 | -86.38% |
| Mar 31, 2023 | -72.06% |
| Dec 31, 2022 | -73.67% |
| Sep 30, 2022 | -65.79% |
| Jun 30, 2022 | -60.75% |
| Mar 31, 2022 | -60.09% |
| Dec 31, 2021 | -63.98% |
| Sep 30, 2021 | -67.93% |
| Jun 30, 2021 | -60.57% |
Cue Biopharma 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=CUE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=CUE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();