Regeneron Pharmaceuticals (REGN) Operating Expenses (2009 - 2026)
Regeneron Pharmaceuticals' Operating Expenses was $3 billion in Q2 2026, up 15.5% from $2.6 billion a year earlier and up 1.2% from the prior quarter.
Regeneron Pharmaceuticals (REGN) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Regeneron Pharmaceuticals' Operating Expenses was $11.69 billion through Jun 30, 2026, up 12.7% year-over-year; for FY2025, it came in at $10.77 billion, up 5.4% from FY2024.
- Operating Expenses has now increased for seven consecutive years, with a five-year compound annual growth rate of 17.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $10.21 billion in FY2024 (+12.6%), $9.07 billion in FY2023 (+22.0%), $7.43 billion in FY2022 (+4.3%) and $7.12 billion in FY2021 (+44.8%).
- Quarterly Operating Expenses has moved between $1.61 billion (Q3 2021) and $3 billion (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for 14 straight quarters, with growth averaging 10.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2021 (growth of 84.1%); the worst was Q2 2022 (a decline of 2.5%).
- Per Business Quant data, REGN's Operating Expenses in the three quarters before Q2 2026 was $2.96 billion (Q1 2026), $3 billion (Q4 2025) and $2.73 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Regeneron Pharmaceuticals | 81.27 Bn | 47.47 Bn | 3.71 Bn | 3.00 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.00 Bn |
| Mar 31, 2026 | 2.96 Bn |
| Dec 31, 2025 | 3.00 Bn |
| Sep 30, 2025 | 2.73 Bn |
| Jun 30, 2025 | 2.60 Bn |
| Mar 31, 2025 | 2.44 Bn |
| Dec 31, 2024 | 2.80 Bn |
| Sep 30, 2024 | 2.54 Bn |
| Jun 30, 2024 | 2.48 Bn |
| Mar 31, 2024 | 2.39 Bn |
| Dec 31, 2023 | 2.46 Bn |
| Sep 30, 2023 | 2.25 Bn |
| Jun 30, 2023 | 2.14 Bn |
| Mar 31, 2023 | 2.22 Bn |
| Dec 31, 2022 | 2.27 Bn |
| Sep 30, 2022 | 1.71 Bn |
| Jun 30, 2022 | 1.75 Bn |
| Mar 31, 2022 | 1.71 Bn |
| Dec 31, 2021 | 2.31 Bn |
| Sep 30, 2021 | 1.61 Bn |
Regeneron Pharmaceuticals Operating Expenses 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=operating-expenses&ticker=REGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "REGN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=REGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();