Regenxbio (RGNX) Return on Capital Employed [ROCE] (2015 - 2026)
Regenxbio (RGNX) posted Return on Capital Employed [ROCE] of -58.28% for Q2 2026, down 18.76 percentage points from -39.52% a year earlier but up 20.37 percentage points from the prior quarter.
Regenxbio (RGNX) Return on Capital Employed [ROCE] (2015 - 2026) Analysis & Trends
For FY2025, Regenxbio's Return on Capital Employed [ROCE] came in at -47.21%, up 8.77 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -24.36 percentage points (FY2020 to FY2025).
- In prior years, Regenxbio's Return on Capital Employed [ROCE] was -55.99% in FY2024 (-9.22 pp), -46.77% in FY2023 (-15.59 pp), -31.18% in FY2022 (-51.67 pp) and 20.50% in FY2021 (+43.36 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -78.65% in Q1 2026 to a high of 19.35% in Q4 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] increased in four of the last eight quarters, with an average year-over-year change of -0.85 percentage points.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2022, with a gain of 42.77 percentage points; the weakest was Q3 2023, with a drop of 63.01 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -78.65% (Q1 2026), -43.45% (Q4 2025) and -36.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 35.41% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 21.60% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 4.65% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.91% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 17.37% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -6.15% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 11.32% |
| 10 | Regenxbio | 508.48 Mn | -228.57 Mn | - | -41.06% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -41.06% |
| Jun 30, 2026 | -58.28% |
| Mar 31, 2026 | -78.65% |
| Dec 31, 2025 | -43.45% |
| Sep 30, 2025 | -36.15% |
| Jun 30, 2025 | -39.52% |
| Mar 31, 2025 | -42.33% |
| Dec 31, 2024 | -59.93% |
| Sep 30, 2024 | -55.69% |
| Jun 30, 2024 | -49.65% |
| Mar 31, 2024 | -54.10% |
| Dec 31, 2023 | -56.61% |
| Sep 30, 2023 | -49.36% |
| Jun 30, 2023 | -44.89% |
| Mar 31, 2023 | -37.97% |
| Dec 31, 2022 | -36.10% |
| Sep 30, 2022 | 13.65% |
| Jun 30, 2022 | 13.97% |
| Mar 31, 2022 | 13.95% |
| Dec 31, 2021 | 19.35% |
Regenxbio 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=RGNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "RGNX", "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=RGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();