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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 386.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | -71.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 74.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 177.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 46.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 10.20 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Repligen | 10.85 Bn | 7.74 Bn | 110.04 Mn | 7.55 Mn |
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 |
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_KEY
import 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();