Cingulate (CING) EPS (Diluted) (2022 - 2026)
Cingulate's EPS (Diluted) was -$0.45 in Q2 2026, compared with -$1.14 a year earlier.
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Analysis
Cingulate (CING) EPS (Diluted) (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cingulate's EPS (Diluted) was -$1.86 through Jun 30, 2026; for FY2025, it came in at -$4.44.
- In earlier years, EPS (Diluted) was -$10.86 in FY2024, -$312.00 in FY2023 and -$352.17 in FY2022.
- The Q2 2026 figure marks the highest quarterly EPS (Diluted) in data going back to Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 2.27 |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | -0.04 |
| 10 | Cingulate | 61.34 Mn | 6.35 Mn | - | -0.45 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.45 |
| Dec 31, 2025 | -1.24 |
| Sep 30, 2025 | -1.35 |
| Jun 30, 2025 | -1.14 |
| Mar 31, 2025 | -1.06 |
| Dec 31, 2024 | -4.09 |
| Sep 30, 2024 | -2.34 |
| Jun 30, 2024 | -5.51 |
| Mar 31, 2024 | -7.21 |
| Dec 31, 2023 | -91.93 |
| Sep 30, 2023 | -72.60 |
| Jun 30, 2023 | -135.79 |
| Mar 31, 2023 | -84.99 |
| Dec 31, 2022 | -91.75 |
| Sep 30, 2022 | -85.47 |
| Jun 30, 2022 | -85.75 |
API Access
Cingulate EPS (Diluted) 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=eps-diluted&ticker=CING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "CING", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=CING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();