Repligen (RGEN) Inventory (2011 - 2026)
Repligen (RGEN) recorded Inventory of $186.6 million in Q2 2026, up 19.7% from $155.86 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Repligen (RGEN) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2025, Repligen reported Inventory of $170.46 million, up 19.2% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 12.4% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $142.96 million in FY2024 (-29.3%), $202.32 million in FY2023 (-15.1%), $238.28 million in FY2022 (+29.2%) and $184.49 million in FY2021 (+94.2%).
- The Q2 2026 figure is the highest quarterly Inventory since Q2 2024.
- On a year-over-year basis, Inventory has increased for three consecutive quarters, with an average decline of 5.0% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 98.9% in Q3 2021, against a decline of 29.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $179.26 million (Q1 2026), $170.46 million (Q4 2025) and $160.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 1.13 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 3.32 Bn |
| 10 | Repligen | 10.85 Bn | 7.74 Bn | 110.04 Mn | 186.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 186.60 Mn |
| Mar 31, 2026 | 179.26 Mn |
| Dec 31, 2025 | 170.46 Mn |
| Sep 30, 2025 | 160.32 Mn |
| Jun 30, 2025 | 155.86 Mn |
| Mar 31, 2025 | 153.11 Mn |
| Dec 31, 2024 | 142.96 Mn |
| Sep 30, 2024 | 182.47 Mn |
| Jun 30, 2024 | 190.53 Mn |
| Mar 31, 2024 | 198.03 Mn |
| Dec 31, 2023 | 202.32 Mn |
| Sep 30, 2023 | 211.37 Mn |
| Jun 30, 2023 | 240.87 Mn |
| Mar 31, 2023 | 244.70 Mn |
| Dec 31, 2022 | 238.28 Mn |
| Sep 30, 2022 | 242.70 Mn |
| Jun 30, 2022 | 239.12 Mn |
| Mar 31, 2022 | 213.78 Mn |
| Dec 31, 2021 | 184.49 Mn |
| Sep 30, 2021 | 156.16 Mn |
API Access
Repligen Inventory 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=inventory&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();