Cerenome (CNSY) Gains from Sales and Divestitures (2013 - 2025)
Cerenome (CNSY) posted Gains from Sales and Divestitures of $16,000 for FY2025.
Analysis
Cerenome (CNSY) Gains from Sales and Divestitures (2013 - 2025) Analysis & Trends
Since FY2013, Cerenome has reported Gains from Sales and Divestitures for 10 years.
- The FY2025 figure stands as the highest annual Gains from Sales and Divestitures since FY2017.
- Business Quant data shows CNSY's Gains from Sales and Divestitures at -$2,000 in FY2023 and -$66,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Cerenome | 11.70 Mn | -35.48 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 16,000.00 |
| Mar 31, 2023 | -2,000.00 |
| Dec 31, 2021 | -48,000.00 |
| Sep 30, 2021 | -18,000.00 |
| Jun 30, 2019 | -6.51 Mn |
| Dec 31, 2018 | -13,000.00 |
| Sep 30, 2018 | -3,000.00 |
| Jun 30, 2018 | 2,000.00 |
| Mar 31, 2018 | -22,000.00 |
| Dec 31, 2017 | 51,000.00 |
| Sep 30, 2017 | 10,000.00 |
| Jun 30, 2017 | -17,000.00 |
| Mar 31, 2017 | -2,000.00 |
| Dec 31, 2016 | 129,000.00 |
| Mar 31, 2016 | -2,000.00 |
| Dec 31, 2015 | -3,000.00 |
| Sep 30, 2015 | -5,000.00 |
| Dec 31, 2014 | 48,000.00 |
| Sep 30, 2014 | -14,000.00 |
| Jun 30, 2013 | -257,000.00 |
API Access
Cerenome Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=CNSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=CNSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();