Cerenome (CNSY) Total Current Liabilities (2010 - 2026)
Cerenome (CNSY) posted Total Current 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.
Cerenome (CNSY) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cerenome's Total Current Liabilities came in at $12.31 million, down 20.8% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, Cerenome's Total Current Liabilities was $15.55 million in FY2024 (+45.0%), $10.73 million in FY2023 (-9.5%), $11.85 million in FY2022 (+101.9%) and $5.87 million in FY2021 (-31.3%).
- Quarterly Total Current Liabilities has run from a low of $4.92 million in Q1 2022 to a high of $18.79 million in Q2 2024 over five years.
- On a year-over-year basis, Total Current Liabilities increased in five of the last eight quarters, with an average decline of 1.9%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q1 2023, with growth of 160.0%; the weakest was Q2 2025, with a decline of 61.1%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $7.96 million (Q1 2026), $12.31 million (Q4 2025) and $13.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Cerenome | 13.60 Mn | -33.58 Mn | - | 8.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.57 Mn |
| Mar 31, 2026 | 7.96 Mn |
| Dec 31, 2025 | 12.31 Mn |
| Sep 30, 2025 | 13.62 Mn |
| Jun 30, 2025 | 7.32 Mn |
| Mar 31, 2025 | 10.56 Mn |
| Dec 31, 2024 | 15.55 Mn |
| Sep 30, 2024 | 12.11 Mn |
| Jun 30, 2024 | 18.79 Mn |
| Mar 31, 2024 | 10.40 Mn |
| Dec 31, 2023 | 10.73 Mn |
| Sep 30, 2023 | 10.54 Mn |
| Jun 30, 2023 | 11.40 Mn |
| Mar 31, 2023 | 12.80 Mn |
| Dec 31, 2022 | 11.85 Mn |
| Sep 30, 2022 | 7.42 Mn |
| Jun 30, 2022 | 6.97 Mn |
| Mar 31, 2022 | 4.92 Mn |
| Dec 31, 2021 | 5.87 Mn |
| Sep 30, 2021 | 9.49 Mn |
Cerenome 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=CNSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=CNSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();