Cero Therapeutics Holdings (CERO) Total Liabilities (2021 - 2026)
Cero Therapeutics Holdings (CERO) posted Total Liabilities of $32.41 million for Q2 2026, up 313.5% from $7.84 million a year earlier and up 182.7% from the prior quarter.
Cero Therapeutics Holdings (CERO) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Cero Therapeutics Holdings' Total Liabilities came in at $9.09 million, up 12.2% from FY2024.
- Annual Total Liabilities shows a four-year compound annual growth rate of -53.1% (FY2021 to FY2025).
- In prior years, Cero Therapeutics Holdings' Total Liabilities was $8.1 million in FY2024 (-82.8%), $47.18 million in FY2023 (-11.6%), $53.37 million in FY2022 (-71.6%) and $187.75 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Liabilities since Q4 2023.
- On a year-over-year basis, Total Liabilities has increased in each of the last three quarters, with growth averaging 70.2% over the last four quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 313.5%; the weakest was Q3 2023, with a decline of 88.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $11.46 million (Q1 2026), $9.09 million (Q4 2025) and $8.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Cero Therapeutics Holdings | 638,128.24 | -4.84 Mn | - | 32.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.41 Mn |
| Mar 31, 2026 | 11.46 Mn |
| Dec 31, 2025 | 9.09 Mn |
| Sep 30, 2025 | 8.45 Mn |
| Jun 30, 2025 | 7.84 Mn |
| Mar 31, 2025 | 8.32 Mn |
| Dec 31, 2024 | 8.10 Mn |
| Sep 30, 2024 | -39.22 Mn |
| Jun 30, 2024 | -38.34 Mn |
| Mar 31, 2024 | -45.70 Bn |
| Dec 31, 2023 | 47.18 Mn |
| Sep 30, 2023 | 22.24 Mn |
| Jun 30, 2023 | 27.40 Mn |
| Mar 31, 2023 | 26.01 Mn |
| Dec 31, 2022 | 53.37 Mn |
| Sep 30, 2022 | 189.51 Mn |
| Jun 30, 2022 | 187.88 Mn |
| Mar 31, 2022 | 187.82 Mn |
| Dec 31, 2021 | 187.75 Mn |
Cero Therapeutics Holdings 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=CERO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CERO", "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=CERO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();