Cerenome (CNSY) Total Liabilities (2010 - 2026)
Cerenome (CNSY) posted Total Liabilities of $8.57 million for Q2 2026, up 17.1% from $7.32 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Cerenome (CNSY) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cerenome's Total Liabilities came in at $12.33 million, down 20.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior years, Cerenome's Total Liabilities was $15.58 million in FY2024 (+22.3%), $12.74 million in FY2023 (-26.9%), $17.42 million in FY2022 (+56.3%) and $11.15 million in FY2021 (+22.8%).
- Quarterly Total Liabilities has run from a low of $7.32 million in Q2 2025 to a high of $35.7 million in Q1 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with growth averaging 18.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2025, with growth of 241.3%; the weakest was Q1 2026, with a decline of 77.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $7.96 million (Q1 2026), $12.33 million (Q4 2025) and $13.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Cerenome | 13.60 Mn | -33.58 Mn | - | 8.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.57 Mn |
| Mar 31, 2026 | 7.96 Mn |
| Dec 31, 2025 | 12.33 Mn |
| Sep 30, 2025 | 13.62 Mn |
| Jun 30, 2025 | 7.32 Mn |
| Mar 31, 2025 | 35.70 Mn |
| Dec 31, 2024 | 15.58 Mn |
| Sep 30, 2024 | 12.15 Mn |
| Jun 30, 2024 | 18.84 Mn |
| Mar 31, 2024 | 10.46 Mn |
| Dec 31, 2023 | 12.74 Mn |
| Sep 30, 2023 | 10.66 Mn |
| Jun 30, 2023 | 11.54 Mn |
| Mar 31, 2023 | 12.96 Mn |
| Dec 31, 2022 | 17.42 Mn |
| Sep 30, 2022 | 11.70 Mn |
| Jun 30, 2022 | 11.59 Mn |
| Mar 31, 2022 | 9.87 Mn |
| Dec 31, 2021 | 11.15 Mn |
| Sep 30, 2021 | 10.00 Mn |
API Access
Cerenome 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=CNSY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CNSY", "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=CNSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();