Climb Bio (CLYM) Research & Development (2020 - 2026)
Climb Bio's Research & Development came in at $9.71 million for Q2 2026, up 47.7% from $6.58 million a year earlier and up 3.6% from the prior quarter.
Climb Bio (CLYM) Research & Development (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Climb Bio reported Research & Development of $41.9 million, up 16.1% year-over-year; for FY2025, it came in at $46.71 million, up 225.8% from FY2024.
- Research & Development carries a five-year compound annual growth rate of 39.7% (FY2020 to FY2025).
- Going back by year, Research & Development was $14.34 million in FY2024 (-7.0%), $15.41 million in FY2023 (-41.2%), $26.21 million in FY2022 (+12.4%) and $23.32 million in FY2021 (+166.0%).
- The five-year range for quarterly Research & Development is $1.05 million (Q2 2024) to $17.33 million (Q1 2025).
- Year-over-year, Research & Development increased in six of the last seven quarters, with growth averaging 130.6%.
- The fastest year-over-year change in Research & Development over five years came in Q2 2025 (growth of 528.6%), and the weakest in Q1 2024 (a decline of 80.9%).
- Business Quant data shows CLYM's Research & Development at $9.37 million (Q1 2026), $13.74 million (Q4 2025) and $9.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 3.65 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.34 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 9.74 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -2.85 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -4.05 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 1.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.76 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 2.81 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 993.80 Mn |
| 10 | Climb Bio | 894.05 Mn | 894.05 Mn | - | 9.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.71 Mn |
| Mar 31, 2026 | 9.37 Mn |
| Dec 31, 2025 | 13.74 Mn |
| Sep 30, 2025 | 9.07 Mn |
| Jun 30, 2025 | 6.58 Mn |
| Mar 31, 2025 | 17.33 Mn |
| Dec 31, 2024 | 5.96 Mn |
| Sep 30, 2024 | 6.24 Mn |
| Jun 30, 2024 | 1.05 Mn |
| Mar 31, 2024 | 1.09 Mn |
| Dec 31, 2023 | 3.13 Mn |
| Sep 30, 2023 | 2.88 Mn |
| Jun 30, 2023 | 3.69 Mn |
| Mar 31, 2023 | 5.72 Mn |
| Dec 31, 2022 | 4.93 Mn |
| Sep 30, 2022 | 4.26 Mn |
| Jun 30, 2022 | 8.77 Mn |
| Mar 31, 2022 | 8.26 Mn |
| Dec 31, 2021 | 6.88 Mn |
| Sep 30, 2021 | 5.99 Mn |
Climb Bio Research & Development 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=research-and-development&ticker=CLYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=CLYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();