Caribou Biosciences (CRBU) Operating Expenses (2020 - 2026)
Caribou Biosciences (CRBU) recorded Operating Expenses of $26.84 million in Q2 2026, down 46.6% from $50.25 million a year earlier and down 6.4% from the prior quarter.
Caribou Biosciences (CRBU) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Caribou Biosciences' Operating Expenses came in at $119.51 million as of Jun 30, 2026, down 32.4% year-over-year; for FY2025, it was $159.5 million, down 9.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 26.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $176.61 million in FY2024 (+17.3%), $150.54 million in FY2023 (+25.2%), $120.25 million in FY2022 (+57.0%) and $76.58 million in FY2021 (+57.9%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q1 2022.
- On a year-over-year basis, Operating Expenses has declined for four consecutive quarters, with an average decline of 15.0% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 139.7% in Q3 2021, against a decline of 46.6% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $28.68 million (Q1 2026), $32.39 million (Q4 2025) and $31.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Caribou Biosciences | 130.37 Mn | -386.16 Mn | - | 26.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.84 Mn |
| Mar 31, 2026 | 28.68 Mn |
| Dec 31, 2025 | 32.39 Mn |
| Sep 30, 2025 | 31.60 Mn |
| Jun 30, 2025 | 50.25 Mn |
| Mar 31, 2025 | 45.27 Mn |
| Dec 31, 2024 | 40.95 Mn |
| Sep 30, 2024 | 40.26 Mn |
| Jun 30, 2024 | 46.97 Mn |
| Mar 31, 2024 | 48.43 Mn |
| Dec 31, 2023 | 41.00 Mn |
| Sep 30, 2023 | 38.30 Mn |
| Jun 30, 2023 | 36.62 Mn |
| Mar 31, 2023 | 34.62 Mn |
| Dec 31, 2022 | 34.27 Mn |
| Sep 30, 2022 | 29.84 Mn |
| Jun 30, 2022 | 32.62 Mn |
| Mar 31, 2022 | 23.52 Mn |
| Dec 31, 2021 | 22.96 Mn |
| Sep 30, 2021 | 22.59 Mn |
Caribou Biosciences 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=CRBU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CRBU", "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=CRBU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();