Climb Bio (CLYM) Total Current Liabilities (2020 - 2026)
Climb Bio's Total Current Liabilities came in at $5.93 million for Q2 2026, down 4.4% from $6.21 million a year earlier but up 45.8% from the prior quarter.
Climb Bio (CLYM) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Climb Bio's Total Current Liabilities was $6.98 million, up 41.6% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $4.93 million in FY2024 (+74.1%), $2.83 million in FY2023 (-53.5%), $6.1 million in FY2022 (+1.1%) and $6.03 million in FY2021 (+96.9%).
- The five-year range for quarterly Total Current Liabilities is $2.83 million (Q4 2023) to $7.61 million (Q2 2022).
- Year-over-year, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 42.0%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q1 2025 (growth of 138.5%), and the weakest in Q3 2023 (a decline of 53.8%).
- Business Quant data shows CLYM's Total Current Liabilities at $4.07 million (Q1 2026), $6.98 million (Q4 2025) and $4.95 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Climb Bio | 894.05 Mn | 894.05 Mn | - | 5.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.93 Mn |
| Mar 31, 2026 | 4.07 Mn |
| Dec 31, 2025 | 6.98 Mn |
| Sep 30, 2025 | 4.95 Mn |
| Jun 30, 2025 | 6.21 Mn |
| Mar 31, 2025 | 7.04 Mn |
| Dec 31, 2024 | 4.93 Mn |
| Sep 30, 2024 | 3.42 Mn |
| Jun 30, 2024 | 3.74 Mn |
| Mar 31, 2024 | 2.95 Mn |
| Dec 31, 2023 | 2.83 Mn |
| Sep 30, 2023 | 2.90 Mn |
| Jun 30, 2023 | 3.62 Mn |
| Mar 31, 2023 | 4.92 Mn |
| Dec 31, 2022 | 6.10 Mn |
| Sep 30, 2022 | 6.28 Mn |
| Jun 30, 2022 | 7.61 Mn |
| Mar 31, 2022 | 6.90 Mn |
| Dec 31, 2021 | 6.03 Mn |
| Sep 30, 2021 | 5.59 Mn |
Climb Bio Total Current Liabilities 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=total-current-liabilities&ticker=CLYM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=CLYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();