Repligen (RGEN) Selling, General & Administrative (2010 - 2026)
Repligen (RGEN) reported Selling, General & Administrative of $76.62 million for Q2 2026, up 8.1% from $70.91 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Repligen (RGEN) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Repligen's Selling, General & Administrative came in at $301.18 million, up 8.5% year-over-year; for FY2025, it was $290.51 million, up 10.3% from FY2024.
- Selling, General & Administrative has increased for 12 consecutive years, with a five-year compound annual growth rate of 19.4% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $263.37 million in FY2024 (+20.5%), $218.58 million in FY2023 (+1.3%), $215.83 million in FY2022 (+17.4%) and $183.87 million in FY2021 (+53.7%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative in data going back to Q2 2012.
- Year over year, Selling, General & Administrative has now increased in each of the last three quarters, with growth averaging 12.5% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q3 2021 (growth of 66.5%); the low point was Q2 2023 (a decline of 10.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $76.54 million (Q1 2026), $74.36 million (Q4 2025) and $73.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.14 Bn | 227.16 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 179.92 Bn | 150.35 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 160.81 Bn | 144.62 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 156.58 Bn | 136.87 Bn | 2.08 Bn | 633.40 Mn |
| 5 | Medtronic | 123.90 Bn | 89.15 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 118.03 Bn | 104.15 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 67.51 Bn | 62.28 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.94 Bn | 2.32 Bn | 1.26 Bn |
| 9 | Edwards Lifesciences | 52.29 Bn | 36.30 Bn | 1.35 Bn | 561.20 Mn |
| 10 | Repligen | 9.92 Bn | 6.81 Bn | 110.04 Mn | 76.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.62 Mn |
| Mar 31, 2026 | 76.54 Mn |
| Dec 31, 2025 | 74.36 Mn |
| Sep 30, 2025 | 73.66 Mn |
| Jun 30, 2025 | 70.91 Mn |
| Mar 31, 2025 | 70.71 Mn |
| Dec 31, 2024 | 60.47 Mn |
| Sep 30, 2024 | 75.61 Mn |
| Jun 30, 2024 | 65.48 Mn |
| Mar 31, 2024 | 61.80 Mn |
| Dec 31, 2023 | 57.63 Mn |
| Sep 30, 2023 | 55.58 Mn |
| Jun 30, 2023 | 49.08 Mn |
| Mar 31, 2023 | 56.29 Mn |
| Dec 31, 2022 | 53.24 Mn |
| Sep 30, 2022 | 53.64 Mn |
| Jun 30, 2022 | 54.65 Mn |
| Mar 31, 2022 | 54.30 Mn |
| Dec 31, 2021 | 52.06 Mn |
| Sep 30, 2021 | 48.37 Mn |
API Access
Repligen Selling, General & Administrative 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=selling-general-and-administrative&ticker=RGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=RGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();