Cullinan Therapeutics (CGEM) Total Liabilities (2019 - 2026)
Cullinan Therapeutics' Total Liabilities came in at $42.03 million for Q2 2026, up 49.1% from $28.18 million a year earlier and up 14.2% from the prior quarter.
Cullinan Therapeutics (CGEM) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Cullinan Therapeutics' Total Liabilities was $39.64 million, up 25.9% from FY2024.
- Total Liabilities has increased in each of the last four years, with a five-year compound annual growth rate of 22.5% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $31.5 million in FY2024 (+4.0%), $30.29 million in FY2023 (+16.1%), $26.09 million in FY2022 (+120.9%) and $11.81 million in FY2021 (-17.9%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q2 2022.
- Year-over-year, Total Liabilities has increased for seven consecutive quarters, with growth averaging 21.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2022 (growth of 977.4%), and the weakest in Q2 2023 (a decline of 64.2%).
- Business Quant data shows CGEM's Total Liabilities at $36.81 million (Q1 2026), $39.64 million (Q4 2025) and $32.76 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Cullinan Therapeutics | 722.60 Mn | -1.13 Bn | - | 41.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 41.28 Mn |
| Jun 30, 2026 | 42.03 Mn |
| Mar 31, 2026 | 36.81 Mn |
| Dec 31, 2025 | 39.64 Mn |
| Sep 30, 2025 | 32.76 Mn |
| Jun 30, 2025 | 28.18 Mn |
| Mar 31, 2025 | 27.84 Mn |
| Dec 31, 2024 | 31.50 Mn |
| Sep 30, 2024 | 25.39 Mn |
| Jun 30, 2024 | 25.00 Mn |
| Mar 31, 2024 | 23.77 Mn |
| Dec 31, 2023 | 30.29 Mn |
| Sep 30, 2023 | 25.89 Mn |
| Jun 30, 2023 | 22.41 Mn |
| Mar 31, 2023 | 29.34 Mn |
| Dec 31, 2022 | 26.09 Mn |
| Sep 30, 2022 | 31.11 Mn |
| Jun 30, 2022 | 62.63 Mn |
| Mar 31, 2022 | 17.99 Mn |
| Dec 31, 2021 | 11.81 Mn |
Cullinan Therapeutics 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=CGEM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CGEM", "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=CGEM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();