IRulya Therapeutics (IRLA) Return on Capital Employed [ROCE] (2019 - 2026)
IRulya Therapeutics' Return on Capital Employed [ROCE] came in at -190.33% for Q2 2026, down 149.10 percentage points from -41.23% a year earlier and down 77.67 percentage points from the prior quarter.
IRulya Therapeutics (IRLA) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, IRulya Therapeutics' Return on Capital Employed [ROCE] was -95.55%, down 52.77 percentage points from FY2024.
- Return on Capital Employed [ROCE] carries a five-year change of -39.16 percentage points (FY2020 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -42.78% in FY2024 (-15.37 pp), -27.40% in FY2023 (+17.63 pp), -45.03% in FY2022 (+16.35 pp) and -61.39% in FY2021 (-5.01 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Capital Employed [ROCE] in data going back to Q1 2019.
- Year-over-year, Return on Capital Employed [ROCE] has declined for nine consecutive quarters, with an average year-over-year change of -41.55 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2023 (a gain of 38.61 percentage points), and the weakest in Q2 2026 (a drop of 149.10 percentage points).
- Business Quant data shows IRLA's Return on Capital Employed [ROCE] at -112.66% (Q1 2026), -99.29% (Q4 2025) and -57.97% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 43.74% |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 5.33% |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 11.32% |
| 10 | IRulya Therapeutics | 207.35 Mn | 91.35 Mn | - | -190.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -190.33% |
| Mar 31, 2026 | -112.66% |
| Dec 31, 2025 | -99.29% |
| Sep 30, 2025 | -57.97% |
| Jun 30, 2025 | -41.23% |
| Mar 31, 2025 | -59.48% |
| Dec 31, 2024 | -50.60% |
| Sep 30, 2024 | -44.07% |
| Jun 30, 2024 | -40.53% |
| Mar 31, 2024 | -21.34% |
| Dec 31, 2023 | -29.52% |
| Sep 30, 2023 | -36.48% |
| Jun 30, 2023 | -36.44% |
| Mar 31, 2023 | -45.19% |
| Dec 31, 2022 | -50.17% |
| Sep 30, 2022 | -63.64% |
| Jun 30, 2022 | -75.05% |
| Mar 31, 2022 | -77.30% |
| Dec 31, 2021 | -71.62% |
| Sep 30, 2021 | -62.48% |
IRulya 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=IRLA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "IRLA", "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=IRLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();