Coya Therapeutics (COYA) Return on Capital Employed [ROCE] (2023 - 2026)
Coya Therapeutics' Return on Capital Employed [ROCE] was -49.49% in Q2 2026, up 22.49 percentage points from -71.98% a year earlier but down 2.64 percentage points from the prior quarter.
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Analysis
Coya Therapeutics (COYA) Return on Capital Employed [ROCE] (2023 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Coya Therapeutics came in at -54.64%, down 10.39 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a three-year change of +299.55 percentage points (FY2022 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -44.25% in FY2024 (-4.29 pp), -39.96% in FY2023 (+314.23 pp) and -354.20% in FY2022.
- Quarterly Return on Capital Employed [ROCE] has moved between -103.04% (Q3 2023) and -29.95% (Q1 2024) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in three of the last eight quarters, with an average year-over-year change of -3.96 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q3 2024 (a gain of 70.99 percentage points); the worst was Q2 2025 (a drop of 41.94 percentage points).
- Per Business Quant data, COYA's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -46.85% (Q1 2026), -64.21% (Q4 2025) and -70.85% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,129.96 Bn | 1,098.54 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 635.65 Bn | 555.51 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 504.89 Bn | 478.00 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 358.50 Bn | 312.87 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 291.04 Bn | 255.03 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 265.27 Bn | 238.95 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 237.76 Bn | 193.16 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 195.00 Bn | 169.20 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 171.37 Bn | 118.02 Bn | 10.94 Bn | 11.86% |
| 10 | Coya Therapeutics | 93.95 Mn | -74.93 Mn | - | -49.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -49.49% |
| Mar 31, 2026 | -46.85% |
| Dec 31, 2025 | -64.21% |
| Sep 30, 2025 | -70.85% |
| Jun 30, 2025 | -71.98% |
| Mar 31, 2025 | -52.50% |
| Dec 31, 2024 | -47.75% |
| Sep 30, 2024 | -32.05% |
| Jun 30, 2024 | -30.05% |
| Mar 31, 2024 | -29.95% |
| Dec 31, 2023 | -36.71% |
| Sep 30, 2023 | -103.04% |
| Jun 30, 2023 | -73.49% |
| Mar 31, 2023 | -94.60% |
API Access
Coya Therapeutics 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=COYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "COYA", "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=COYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();