Repligen (RGEN) Receivables (2011 - 2026)
Repligen's Receivables was $157.71 million in Q2 2026, up 0.5% from $156.95 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Repligen (RGEN) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Repligen came in at $158.59 million, up 18.2% from FY2024.
- Receivables has now increased for three consecutive years, with a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- In earlier years, Receivables was $134.12 million in FY2024 (+8.0%), $124.16 million in FY2023 (+6.8%), $116.25 million in FY2022 (-1.0%) and $117.42 million in FY2021 (+64.5%).
- Quarterly Receivables has moved between $106.16 million (Q3 2023) and $158.59 million (Q4 2025) over five years.
- Compared with a year earlier, Receivables has increased for nine straight quarters, with growth averaging 15.2% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q3 2021 (growth of 118.6%); the worst was Q1 2024 (a decline of 13.3%).
- Per Business Quant data, RGEN's Receivables in the three quarters before Q2 2026 was $151.55 million (Q1 2026), $158.59 million (Q4 2025) and $148.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Repligen | 10.85 Bn | 7.74 Bn | 110.04 Mn | 157.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 157.71 Mn |
| Mar 31, 2026 | 151.55 Mn |
| Dec 31, 2025 | 158.59 Mn |
| Sep 30, 2025 | 148.97 Mn |
| Jun 30, 2025 | 156.95 Mn |
| Mar 31, 2025 | 147.41 Mn |
| Dec 31, 2024 | 134.12 Mn |
| Sep 30, 2024 | 129.03 Mn |
| Jun 30, 2024 | 123.25 Mn |
| Mar 31, 2024 | 115.77 Mn |
| Dec 31, 2023 | 124.16 Mn |
| Sep 30, 2023 | 106.16 Mn |
| Jun 30, 2023 | 120.30 Mn |
| Mar 31, 2023 | 133.49 Mn |
| Dec 31, 2022 | 116.25 Mn |
| Sep 30, 2022 | 117.65 Mn |
| Jun 30, 2022 | 121.05 Mn |
| Mar 31, 2022 | 122.44 Mn |
| Dec 31, 2021 | 117.42 Mn |
| Sep 30, 2021 | 122.05 Mn |
API Access
Repligen Receivables 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=receivables&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();