Repligen (RGEN) Accumulated Expenses (2011 - 2026)
Repligen's Accumulated Expenses came in at $77.08 million for Q2 2026, up 1.2% from $76.18 million a year earlier and up 18.1% from the prior quarter.
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Analysis
Repligen (RGEN) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Repligen's Accumulated Expenses was $79.21 million, up 26.9% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $62.42 million in FY2024 (+8.9%), $57.31 million in FY2023 (-19.4%), $71.12 million in FY2022 (-5.8%) and $75.5 million in FY2021 (+42.2%).
- The five-year range for quarterly Accumulated Expenses is $57.31 million (Q4 2023) to $79.21 million (Q4 2025).
- Year-over-year, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 14.2%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2021 (growth of 97.9%), and the weakest in Q3 2023 (a decline of 22.1%).
- Business Quant data shows RGEN's Accumulated Expenses at $65.26 million (Q1 2026), $79.21 million (Q4 2025) and $77.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn |
| 10 | Repligen | 9.99 Bn | 6.88 Bn | 110.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.08 Mn |
| Mar 31, 2026 | 65.26 Mn |
| Dec 31, 2025 | 79.21 Mn |
| Sep 30, 2025 | 77.29 Mn |
| Jun 30, 2025 | 76.18 Mn |
| Mar 31, 2025 | 76.04 Mn |
| Dec 31, 2024 | 62.42 Mn |
| Sep 30, 2024 | 60.90 Mn |
| Jun 30, 2024 | 58.35 Mn |
| Mar 31, 2024 | 59.20 Mn |
| Dec 31, 2023 | 57.31 Mn |
| Sep 30, 2023 | 58.12 Mn |
| Jun 30, 2023 | 59.79 Mn |
| Mar 31, 2023 | 69.29 Mn |
| Dec 31, 2022 | 71.12 Mn |
| Sep 30, 2022 | 74.63 Mn |
| Jun 30, 2022 | 70.69 Mn |
| Mar 31, 2022 | 65.11 Mn |
| Dec 31, 2021 | 75.50 Mn |
| Sep 30, 2021 | 63.39 Mn |
API Access
Repligen Accumulated 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=accumulated-expenses&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();