Corbus Pharmaceuticals Holdings (CRBP) Operating Expenses (2013 - 2025)
Corbus Pharmaceuticals Holdings (CRBP) posted Operating Expenses of $24.42 million for Q3 2025, up 57.5% from $15.51 million a year earlier and up 27.5% from the prior quarter.
Corbus Pharmaceuticals Holdings (CRBP) Operating Expenses (2013 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Operating Expenses at Corbus Pharmaceuticals Holdings was $75.95 million, up 64.3% year-over-year; for FY2024, it came in at $48.72 million, up 8.1% from FY2023.
- Annual Operating Expenses shows a five-year compound annual growth rate of -15.5% (FY2019 to FY2024).
- In prior years, Corbus Pharmaceuticals Holdings' Operating Expenses was $45.08 million in FY2023 (+13.2%), $39.84 million in FY2022 (-30.0%), $56.87 million in FY2021 (-55.1%) and $126.75 million in FY2020 (+11.9%).
- The Q3 2025 figure stands as the highest quarterly Operating Expenses since Q3 2020.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 38.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2025, with growth of 105.5%; the weakest was Q3 2021, with a decline of 60.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $19.15 million (Q2 2025), $19.78 million (Q1 2025) and $12.61 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Corbus Pharmaceuticals Holdings | 52.74 Mn | -463.89 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 24.42 Mn |
| Jun 30, 2025 | 19.15 Mn |
| Mar 31, 2025 | 19.78 Mn |
| Dec 31, 2024 | 12.61 Mn |
| Sep 30, 2024 | 15.51 Mn |
| Jun 30, 2024 | 10.99 Mn |
| Mar 31, 2024 | 9.62 Mn |
| Dec 31, 2023 | 10.10 Mn |
| Sep 30, 2023 | 9.49 Mn |
| Jun 30, 2023 | 8.19 Mn |
| Mar 31, 2023 | 17.30 Mn |
| Dec 31, 2022 | 10.80 Mn |
| Sep 30, 2022 | 8.18 Mn |
| Jun 30, 2022 | 12.34 Mn |
| Mar 31, 2022 | 8.52 Mn |
| Dec 31, 2021 | 10.00 Mn |
| Sep 30, 2021 | 13.97 Mn |
| Jun 30, 2021 | 16.84 Mn |
| Mar 31, 2021 | 16.06 Mn |
| Dec 31, 2020 | 21.47 Mn |
Corbus Pharmaceuticals Holdings 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=CRBP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CRBP", "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=CRBP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();