Repligen (RGEN) Change in Receivables (2010 - 2026)
Repligen's Change in Receivables came in at $7.55 million for Q2 2026, up 44.1% from $5.24 million a year earlier.
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Analysis
Repligen (RGEN) Change in Receivables (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Repligen reported Change in Receivables of $6.37 million, down 77.2% year-over-year; for FY2025, it came in at $17.17 million, up 22.3% from FY2024.
- Change in Receivables carries a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- Going back by year, Change in Receivables was $14.03 million in FY2024 (+323.6%), $3.31 million in FY2023 (-7.9%), $3.6 million in FY2022 (-92.3%) and $46.52 million in FY2021 (+122.7%).
- The five-year range for quarterly Change in Receivables is -$12.92 million (Q3 2023) to $19.99 million (Q3 2021).
- Year-over-year, Change in Receivables increased in two of the last four quarters, with an average decline of 0.9%.
- The fastest year-over-year change in Change in Receivables over five years came in Q3 2021 (growth of 261.5%), and the weakest in Q3 2022 (a decline of 99.1%).
- Business Quant data shows RGEN's Change in Receivables at -$3.19 million (Q1 2026), $9.86 million (Q4 2025) and -$7.86 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 386.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | -71.00 Mn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 53.40 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 177.00 Mn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 46.00 Mn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 10.20 Mn |
| 10 | Repligen | 9.94 Bn | 6.83 Bn | 110.04 Mn | 7.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.55 Mn |
| Mar 31, 2026 | -3.19 Mn |
| Dec 31, 2025 | 9.86 Mn |
| Sep 30, 2025 | -7.86 Mn |
| Jun 30, 2025 | 5.24 Mn |
| Mar 31, 2025 | 9.92 Mn |
| Dec 31, 2024 | 9.40 Mn |
| Sep 30, 2024 | 3.39 Mn |
| Jun 30, 2024 | 7.90 Mn |
| Mar 31, 2024 | -6.65 Mn |
| Dec 31, 2023 | 11.63 Mn |
| Sep 30, 2023 | -12.92 Mn |
| Jun 30, 2023 | -12.23 Mn |
| Mar 31, 2023 | 16.83 Mn |
| Dec 31, 2022 | -5.01 Mn |
| Sep 30, 2022 | 176,000.00 |
| Jun 30, 2022 | 2.16 Mn |
| Mar 31, 2022 | 6.27 Mn |
| Dec 31, 2021 | -5.40 Mn |
| Sep 30, 2021 | 19.99 Mn |
API Access
Repligen Change in 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=change-in-receivables&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();