Repligen (RGEN) Inventory (2009 - 2026)
Repligen (RGEN) recorded Inventory of $182.21 million in Q3 2026, up 13.7% from $160.32 million a year earlier but down 2.4% from the prior quarter.
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Analysis
Repligen (RGEN) Inventory (2009 - 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%).
- Quarterly Inventory has ranged from $142.96 million in Q4 2024 to $244.7 million in Q1 2023 over the past five years.
- On a year-over-year basis, Inventory has increased for four consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 95.2% in Q1 2022, against a decline of 29.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $186.6 million (Q2 2026), $179.26 million (Q1 2026) and $170.46 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 5.64 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 7.34 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 3.13 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.13 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 5.75 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 3.32 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.16 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 4.81 Bn |
| 10 | Repligen | 9.51 Bn | 6.29 Bn | 110.99 Mn | 182.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 182.21 Mn |
| 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 |
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();