Repligen (RGEN) Research & Development (2009 - 2026)
Repligen (RGEN) recorded Research & Development of $14.44 million in Q3 2026, up 1.8% from $14.18 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Repligen (RGEN) Research & Development (2009 - 2026) Analysis & Trends
On a TTM basis, Repligen's Research & Development came in at $56.43 million as of Sep 30, 2026, up 8.7% year-over-year; for FY2025, it was $54.18 million, up 25.4% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 21.8% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $43.2 million in FY2024 (+1.1%), $42.72 million in FY2023 (-2.8%), $43.94 million in FY2022 (+28.2%) and $34.27 million in FY2021 (+69.8%).
- Quarterly Research & Development has ranged from $9.12 million in Q4 2021 to $14.46 million in Q1 2026 over the past five years.
- On a year-over-year basis, Research & Development has increased for eight consecutive quarters, with growth averaging 17.0% over the last eight quarters.
- Peak year-over-year performance for Research & Development in the last five years was growth of 59.7% in Q1 2022, against a decline of 8.2% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $14.42 million (Q2 2026), $14.46 million (Q1 2026) and $13.12 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 348.00 Mn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 920.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 433.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 408.30 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 771.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 433.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 520.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 281.40 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | - |
| 10 | Repligen | 9.51 Bn | 6.29 Bn | 110.99 Mn | 14.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.44 Mn |
| Jun 30, 2026 | 14.42 Mn |
| Mar 31, 2026 | 14.46 Mn |
| Dec 31, 2025 | 13.92 Mn |
| Sep 30, 2025 | 14.18 Mn |
| Jun 30, 2025 | 13.97 Mn |
| Mar 31, 2025 | 12.11 Mn |
| Dec 31, 2024 | 11.68 Mn |
| Sep 30, 2024 | 9.71 Mn |
| Jun 30, 2024 | 10.58 Mn |
| Mar 31, 2024 | 11.24 Mn |
| Dec 31, 2023 | 10.29 Mn |
| Sep 30, 2023 | 10.58 Mn |
| Jun 30, 2023 | 9.71 Mn |
| Mar 31, 2023 | 12.15 Mn |
| Dec 31, 2022 | 11.11 Mn |
| Sep 30, 2022 | 10.23 Mn |
| Jun 30, 2022 | 10.44 Mn |
| Mar 31, 2022 | 12.16 Mn |
| Dec 31, 2021 | 9.12 Mn |
API Access
Repligen Research & Development 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=research-and-development&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();