Cerenome (CNSY) Treasury Shares (2023 - 2026)
Cerenome's Treasury Shares was $500,000 in Q2 2026, unchanged from $500,000 a year earlier and unchanged from the prior quarter.
Analysis
Cerenome (CNSY) Treasury Shares (2023 - 2026) Analysis & Trends
From Q4 2023 onward, Cerenome has reported Treasury Shares for 11 quarters.
- In earlier years, Treasury Shares was $500,000 in FY2024 (+296.8%) and $126,000 in FY2023.
- Compared with a year earlier, Treasury Shares was higher in 1 of the last seven quarters, with growth averaging 42.4%.
- Per Business Quant data, CNSY's Treasury Shares in the three quarters before Q2 2026 was $500,000 (Q1 2026), $500,000 (Q4 2025) and $500,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,169.89 Bn | 1,138.48 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 648.35 Bn | 568.21 Bn | 17.30 Bn | 712.73 Mn |
| 3 | AbbVie | 504.24 Bn | 477.35 Bn | 12.70 Bn | 77.11 Mn |
| 4 | Merck | 365.96 Bn | 320.33 Bn | 12.21 Bn | 1.11 Bn |
| 5 | Novartis Ag | 303.28 Bn | 267.27 Bn | 11.24 Bn | 49.00 Mn |
| 6 | Astrazeneca | 268.68 Bn | 242.37 Bn | 12.86 Bn | - |
| 7 | Amgen | 242.76 Bn | 198.16 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.96 Bn | 169.16 Bn | 6.22 Bn | - |
| 9 | Pfizer | 172.99 Bn | 119.64 Bn | 10.94 Bn | 3.94 Bn |
| 10 | Cerenome | 12.21 Mn | -34.97 Mn | - | 10,337.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10,337.00 |
| Mar 31, 2026 | 10,337.00 |
| Dec 31, 2025 | 10,337.00 |
| Sep 30, 2025 | 258,425.00 |
| Jun 30, 2025 | 258,425.00 |
| Mar 31, 2025 | 258,425.00 |
| Dec 31, 2024 | 258,425.00 |
| Sep 30, 2024 | -258,425.00 |
| Jun 30, 2024 | -258,425.00 |
| Mar 31, 2024 | -258,425.00 |
| Dec 31, 2023 | -78,559.00 |
API Access
Cerenome Treasury Shares 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=treasury-shares&ticker=CNSY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=CNSY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();