Repligen (RGEN) Gains from Sales and Divestitures (2011 - 2026)
Repligen (RGEN) reported Gains from Sales and Divestitures of $103,000 for Q2 2026.
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Analysis
Repligen (RGEN) Gains from Sales and Divestitures (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Repligen's Gains from Sales and Divestitures came in at -$13.66 million; for FY2024, it came in at -$3.6 million.
- The Q2 2026 figure ranks as the highest quarterly Gains from Sales and Divestitures in data going back to Q3 2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Repligen | 10.25 Bn | 7.14 Bn | 110.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103,000.00 |
| Mar 31, 2026 | -13.76 Mn |
| Jun 30, 2017 | -5,000.00 |
| Mar 31, 2017 | -59,000.00 |
| Dec 31, 2016 | 40,000.00 |
| Sep 30, 2016 | 1,000.00 |
| Jun 30, 2016 | -23,000.00 |
| Mar 31, 2016 | -3,000.00 |
| Dec 31, 2014 | -32,000.00 |
| Sep 30, 2014 | -360.00 |
| Mar 31, 2011 | -5,597.00 |
API Access
Repligen Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();