Cingulate (CING) EBITDA (2021 - 2026)
Cingulate (CING) posted EBITDA of -$5.32 million for Q2 2026, compared with -$4.5 million a year earlier.
Powered by 
Analysis
Cingulate (CING) EBITDA (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Cingulate was -$21.17 million; for FY2025, it was -$19.4 million.
- In prior years, Cingulate's EBITDA was -$14.99 million in FY2024, -$22.18 million in FY2023, -$17.11 million in FY2022 and -$19.97 million in FY2021.
- Quarterly EBITDA has run from a low of -$15.2 million in Q3 2021 to a high of -$2.47 million in Q4 2021 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Cingulate | 59.73 Mn | 4.74 Mn | - | -5.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.32 Mn |
| Dec 31, 2025 | -5.36 Mn |
| Sep 30, 2025 | -5.82 Mn |
| Jun 30, 2025 | -4.42 Mn |
| Mar 31, 2025 | -3.46 Mn |
| Dec 31, 2024 | -6.05 Mn |
| Sep 30, 2024 | -3.12 Mn |
| Jun 30, 2024 | -3.04 Mn |
| Mar 31, 2024 | -2.78 Mn |
| Dec 31, 2023 | -6.62 Mn |
| Sep 30, 2023 | -5.60 Mn |
| Jun 30, 2023 | -6.21 Mn |
| Mar 31, 2023 | -3.75 Mn |
| Dec 31, 2022 | -4.39 Mn |
| Sep 30, 2022 | -3.87 Mn |
| Jun 30, 2022 | -3.95 Mn |
| Mar 31, 2022 | -4.91 Mn |
| Dec 31, 2021 | -2.47 Mn |
| Sep 30, 2021 | -15.20 Mn |
| Jun 30, 2021 | -1.35 Mn |
API Access
Cingulate EBITDA 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=ebitda&ticker=CING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();