Repligen (RGEN) Return on Capital Employed [ROCE] (2009 - 2026)
Repligen (RGEN) recorded Return on Capital Employed [ROCE] of 2.30% in Q2 2026, up 3.17 percentage points from -0.87% a year earlier and up 0.01 percentage points from the prior quarter.
Repligen (RGEN) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2025, Repligen reported Return on Capital Employed [ROCE] of 2.00%, up 3.30 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -3.24 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -1.30% in FY2024 (-3.19 pp), 1.90% in FY2023 (-9.11 pp), 11.01% in FY2022 (+1.48 pp) and 9.53% in FY2021 (+4.29 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q3 2023.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of -0.20 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 4.14 percentage points in Q3 2021, against a drop of 8.84 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 2.29% (Q1 2026), 1.97% (Q4 2025) and 0.03% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 4.76% |
| 10 | Repligen | 9.51 Bn | 6.29 Bn | 110.99 Mn | 0.65% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 0.65% |
| Jun 30, 2026 | 2.30% |
| Mar 31, 2026 | 2.29% |
| Dec 31, 2025 | 1.97% |
| Sep 30, 2025 | 0.03% |
| Jun 30, 2025 | -0.87% |
| Mar 31, 2025 | -1.20% |
| Dec 31, 2024 | -1.30% |
| Sep 30, 2024 | 0.41% |
| Jun 30, 2024 | 0.89% |
| Mar 31, 2024 | 1.41% |
| Dec 31, 2023 | 1.90% |
| Sep 30, 2023 | 4.01% |
| Jun 30, 2023 | 6.22% |
| Mar 31, 2023 | 8.41% |
| Dec 31, 2022 | 10.74% |
| Sep 30, 2022 | 10.44% |
| Jun 30, 2022 | 10.34% |
| Mar 31, 2022 | 9.80% |
| Dec 31, 2021 | 8.69% |
Repligen 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=RGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "RGEN", "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=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();