Climb Bio (CLYM) Other Operating Expenses (2020 - 2024)
Climb Bio (CLYM) recorded Other Operating Expenses of $3.36 million in Q4 2024, compared with -$4.13 million a year earlier and up 20.6% from the prior quarter.
Analysis
Climb Bio (CLYM) Other Operating Expenses (2020 - 2024) Analysis & Trends
For FY2024, Climb Bio reported Other Operating Expenses of $48.3 million.
- Annual Other Operating Expenses has a four-year compound annual growth rate of 49.3% (FY2020 to FY2024).
- Across earlier years, Other Operating Expenses came in at -$37.62 million in FY2023, $1.38 million in FY2022, $80,000 in FY2021 (-99.2%) and $9.73 million in FY2020.
- The Q4 2024 figure is the highest quarterly Other Operating Expenses since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Climb Bio | 873.49 Mn | 873.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 3.36 Mn |
| Sep 30, 2024 | 2.79 Mn |
| Jun 30, 2024 | 1.49 Mn |
| Dec 31, 2023 | -4.13 Mn |
| Sep 30, 2023 | 1.26 Mn |
| Jun 30, 2023 | 1.11 Mn |
| Mar 31, 2023 | 900,000.00 |
| Mar 31, 2022 | 85,000.00 |
| Dec 31, 2021 | 60,000.00 |
| Sep 30, 2021 | 20,000.00 |
| Jun 30, 2021 | 315,000.00 |
| Dec 31, 2020 | 9.45 Mn |
| Jun 30, 2020 | 35,000.00 |
API Access
Climb Bio Other 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=other-operating-expenses&ticker=CLYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "CLYM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=CLYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();