Repligen (RGEN) Finished Goods (2011 - 2026)
Repligen (RGEN) recorded Finished Goods of $61.92 million in Q2 2026, down 12.8% from $71 million a year earlier but up 8.3% from the prior quarter.
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Analysis
Repligen (RGEN) Finished Goods (2011 - 2026) Analysis & Trends
At the end of FY2025, Repligen reported Finished Goods of $55.03 million, down 2.1% from FY2024.
- Annual Finished Goods has declined for three straight years, though with a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- Across earlier years, Finished Goods came in at $56.21 million in FY2024 (-24.3%), $74.23 million in FY2023 (-10.2%), $82.66 million in FY2022 (+55.8%) and $53.05 million in FY2021 (+38.9%).
- Quarterly Finished Goods has ranged from $43.15 million in Q3 2021 to $90.32 million in Q2 2022 over the past five years.
- On a year-over-year basis, Finished Goods has declined for three consecutive quarters, with an average decline of 9.1% over the last eight quarters.
- Peak year-over-year performance for Finished Goods in the last five years was growth of 104.4% in Q3 2022, against a decline of 24.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $57.15 million (Q1 2026), $55.03 million (Q4 2025) and $72.17 million (Q3 2025).
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 | 61.92 Mn |
| Mar 31, 2026 | 57.15 Mn |
| Dec 31, 2025 | 55.03 Mn |
| Sep 30, 2025 | 72.17 Mn |
| Jun 30, 2025 | 71.00 Mn |
| Mar 31, 2025 | 63.82 Mn |
| Dec 31, 2024 | 56.21 Mn |
| Sep 30, 2024 | 68.83 Mn |
| Jun 30, 2024 | 73.79 Mn |
| Mar 31, 2024 | 74.18 Mn |
| Dec 31, 2023 | 74.23 Mn |
| Sep 30, 2023 | 76.85 Mn |
| Jun 30, 2023 | 88.06 Mn |
| Mar 31, 2023 | 88.03 Mn |
| Dec 31, 2022 | 82.66 Mn |
| Sep 30, 2022 | 88.20 Mn |
| Jun 30, 2022 | 90.32 Mn |
| Mar 31, 2022 | 68.19 Mn |
| Dec 31, 2021 | 53.05 Mn |
| Sep 30, 2021 | 43.15 Mn |
API Access
Repligen Finished Goods 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=finished-goods&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();