Repligen (RGEN) Operating Expenses (2010 - 2026)
Repligen (RGEN) posted Operating Expenses of $190.15 million for Q2 2026, up 12.9% from $168.47 million a year earlier and up 6.6% from the prior quarter.
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Analysis
Repligen (RGEN) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Repligen was $720.49 million, up 3.2% year-over-year; for FY2025, it came in at $683.09 million, up 2.0% from FY2024.
- Annual Operating Expenses has increased for 12 consecutive years, with a five-year compound annual growth rate of 18.2% (FY2020 to FY2025).
- In prior years, Repligen's Operating Expenses was $669.55 million in FY2024 (+14.5%), $584.66 million in FY2023 (+1.4%), $576.87 million in FY2022 (+14.6%) and $503.29 million in FY2021 (+69.8%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 10.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2021, with growth of 82.0%; the weakest was Q4 2025, with a decline of 11.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $178.32 million (Q1 2026), $180.05 million (Q4 2025) and $171.98 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Repligen | 10.85 Bn | 7.74 Bn | 110.04 Mn | 190.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 190.15 Mn |
| Mar 31, 2026 | 178.32 Mn |
| Dec 31, 2025 | 180.05 Mn |
| Sep 30, 2025 | 171.98 Mn |
| Jun 30, 2025 | 168.47 Mn |
| Mar 31, 2025 | 162.59 Mn |
| Dec 31, 2024 | 204.05 Mn |
| Sep 30, 2024 | 162.70 Mn |
| Jun 30, 2024 | 153.37 Mn |
| Mar 31, 2024 | 149.43 Mn |
| Dec 31, 2023 | 156.75 Mn |
| Sep 30, 2023 | 136.50 Mn |
| Jun 30, 2023 | 139.89 Mn |
| Mar 31, 2023 | 151.52 Mn |
| Dec 31, 2022 | 137.93 Mn |
| Sep 30, 2022 | 148.08 Mn |
| Jun 30, 2022 | 144.47 Mn |
| Mar 31, 2022 | 146.40 Mn |
| Dec 31, 2021 | 149.09 Mn |
| Sep 30, 2021 | 133.02 Mn |
API Access
Repligen Operating Expenses 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=operating-expenses&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();