Immuneering (IMRX) Return on Capital Employed [ROCE] (2021 - 2026)
Immuneering's Return on Capital Employed [ROCE] was -31.68% in Q2 2026, up 137.46 percentage points from -169.14% a year earlier but down 4.57 percentage points from the prior quarter.
Immuneering (IMRX) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Immuneering came in at -44.89%, up 46.45 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a four-year change of -9.93 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -91.34% in FY2024 (-35.51 pp), -55.83% in FY2023 (-17.91 pp), -37.91% in FY2022 (-2.95 pp) and -34.96% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has moved between -169.14% (Q2 2025) and -21.21% (Q4 2021) over five years.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for four straight quarters, with an average year-over-year change of +14.86 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q2 2026 (a gain of 137.46 percentage points); the worst was Q2 2025 (a drop of 89.32 percentage points).
- Per Business Quant data, IMRX's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -27.12% (Q1 2026), -26.22% (Q4 2025) and -48.99% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 17.83% |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 9.54% |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 11.86% |
| 10 | Immuneering | 260.73 Mn | 260.73 Mn | - | -31.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -31.68% |
| Mar 31, 2026 | -27.12% |
| Dec 31, 2025 | -26.22% |
| Sep 30, 2025 | -48.99% |
| Jun 30, 2025 | -169.14% |
| Mar 31, 2025 | -137.86% |
| Dec 31, 2024 | -120.59% |
| Sep 30, 2024 | -93.80% |
| Jun 30, 2024 | -79.82% |
| Mar 31, 2024 | -65.54% |
| Dec 31, 2023 | -58.19% |
| Sep 30, 2023 | -49.31% |
| Jun 30, 2023 | -49.95% |
| Mar 31, 2023 | -48.85% |
| Dec 31, 2022 | -43.13% |
| Sep 30, 2022 | -37.42% |
| Jun 30, 2022 | -30.83% |
| Mar 31, 2022 | -26.03% |
| Dec 31, 2021 | -21.21% |
| Sep 30, 2021 | -27.70% |
Immuneering 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=IMRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "IMRX", "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=IMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();