Repligen (RGEN) Return on Sales [ROS] (2010 - 2026)
Repligen's Return on Sales [ROS] was 6.85% in Q2 2026, down 0.77 percentage points from 7.62% a year earlier and down 1.36 percentage points from the prior quarter.
Repligen (RGEN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Repligen's Return on Sales [ROS] was 8.23% through Jun 30, 2026, up 11.77 percentage points year-over-year; for FY2025, it was 7.47%, up 13.01 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -11.59 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -5.53% in FY2024 (-13.08 pp), 7.54% in FY2023 (-20.49 pp), 28.03% in FY2022 (+3.09 pp) and 24.94% in FY2021 (+5.88 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +2.23 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 30.81 percentage points); the worst was Q4 2024 (a drop of 27.71 percentage points).
- Per Business Quant data, RGEN's Return on Sales [ROS] in the three quarters before Q2 2026 was 8.21% (Q1 2026), 9.03% (Q4 2025) and 8.91% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Repligen | 10.25 Bn | 7.14 Bn | 110.04 Mn | 6.85% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.85% |
| Mar 31, 2026 | 8.21% |
| Dec 31, 2025 | 9.03% |
| Sep 30, 2025 | 8.91% |
| Jun 30, 2025 | 7.62% |
| Mar 31, 2025 | 3.89% |
| Dec 31, 2024 | -21.79% |
| Sep 30, 2024 | -5.06% |
| Jun 30, 2024 | 3.44% |
| Mar 31, 2024 | 2.45% |
| Dec 31, 2023 | 5.93% |
| Sep 30, 2023 | 3.32% |
| Jun 30, 2023 | 12.11% |
| Mar 31, 2023 | 8.38% |
| Dec 31, 2022 | 26.15% |
| Sep 30, 2022 | 26.24% |
| Jun 30, 2022 | 30.42% |
| Mar 31, 2022 | 29.07% |
| Dec 31, 2021 | 20.07% |
| Sep 30, 2021 | 25.36% |
Repligen Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=RGEN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();