Regenxbio (RGNX) Operating Expenses (2014 - 2026)
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Analysis
Regenxbio (RGNX) Operating Expenses (2014 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.68 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 7.61 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Regenxbio | 418.33 Mn | -341.95 Mn | - | 78.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.76 Mn |
| Dec 31, 2025 | 87.97 Mn |
| Sep 30, 2025 | 82.14 Mn |
| Jun 30, 2025 | 84.64 Mn |
| Mar 31, 2025 | 76.89 Mn |
| Dec 31, 2024 | 72.58 Mn |
| Sep 30, 2024 | 86.28 Mn |
| Jun 30, 2024 | 78.33 Mn |
| Mar 31, 2024 | 79.49 Mn |
| Dec 31, 2023 | 86.12 Mn |
| Sep 30, 2023 | 93.87 Mn |
| Jun 30, 2023 | 93.09 Mn |
| Mar 31, 2023 | 85.30 Mn |
| Dec 31, 2022 | 89.12 Mn |
| Sep 30, 2022 | 97.56 Mn |
| Jun 30, 2022 | 95.18 Mn |
| Mar 31, 2022 | 93.75 Mn |
| Dec 31, 2021 | 85.06 Mn |
| Sep 30, 2021 | 88.12 Mn |
| Jun 30, 2021 | 74.26 Mn |
API Access
Regenxbio 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=RGNX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RGNX", "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=RGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();