Climb Bio (CLYM) Total Liabilities (2020 - 2026)
Climb Bio (CLYM) posted Total Liabilities of $6.75 million for Q2 2026, up 1.9% from $6.62 million a year earlier and up 57.4% from the prior quarter.
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Analysis
Climb Bio (CLYM) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Climb Bio's Total Liabilities came in at $7.27 million, up 37.0% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -31.9% (FY2020 to FY2025).
- In prior years, Climb Bio's Total Liabilities was $5.31 million in FY2024 (+84.9%), $2.87 million in FY2023 (-54.3%), $6.28 million in FY2022 (+4.0%) and $6.04 million in FY2021 (-87.8%).
- Quarterly Total Liabilities has run from a low of $2.87 million in Q4 2023 to a high of $7.87 million in Q2 2022 over five years.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 47.2%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 149.3%; the weakest was Q2 2022, with a decline of 95.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $4.29 million (Q1 2026), $7.27 million (Q4 2025) and $5.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Climb Bio | 894.05 Mn | 894.05 Mn | - | 6.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.75 Mn |
| Mar 31, 2026 | 4.29 Mn |
| Dec 31, 2025 | 7.27 Mn |
| Sep 30, 2025 | 5.30 Mn |
| Jun 30, 2025 | 6.62 Mn |
| Mar 31, 2025 | 7.36 Mn |
| Dec 31, 2024 | 5.31 Mn |
| Sep 30, 2024 | 3.42 Mn |
| Jun 30, 2024 | 3.74 Mn |
| Mar 31, 2024 | 2.95 Mn |
| Dec 31, 2023 | 2.87 Mn |
| Sep 30, 2023 | 2.99 Mn |
| Jun 30, 2023 | 3.77 Mn |
| Mar 31, 2023 | 5.23 Mn |
| Dec 31, 2022 | 6.28 Mn |
| Sep 30, 2022 | 6.50 Mn |
| Jun 30, 2022 | 7.87 Mn |
| Mar 31, 2022 | 7.28 Mn |
| Dec 31, 2021 | 6.04 Mn |
| Sep 30, 2021 | 5.59 Mn |
API Access
Climb Bio Total 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-liabilities&ticker=CLYM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CLYM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();