Cingulate (CING) Total Debt (2020 - 2026)
Cingulate's Total Debt was $5.07 million in Q2 2026.
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Analysis
Cingulate (CING) Total Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Cingulate came in at $7.45 million, up 50.0% from FY2024.
- Total Debt shows a five-year compound annual growth rate of 71.6% (FY2020 to FY2025).
- In earlier years, Total Debt was $4.96 million in FY2024 (-2.7%), $5.1 million in FY2023 (+2.0%) and $5 million in FY2022.
- Quarterly Total Debt has moved between $3.18 million (Q3 2025) and $8 million (Q2 2023) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 9.59 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 32.35 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Cingulate | 63.03 Mn | -8.35 Mn | - | 5.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.07 Mn |
| Dec 31, 2025 | 7.45 Mn |
| Sep 30, 2025 | 3.18 Mn |
| Mar 31, 2025 | 5.05 Mn |
| Dec 31, 2024 | 4.96 Mn |
| Dec 31, 2023 | 5.10 Mn |
| Sep 30, 2023 | 5.10 Mn |
| Jun 30, 2023 | 8.00 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 5.00 Mn |
| Sep 30, 2022 | 5.00 Mn |
| Dec 31, 2020 | 500,335.00 |
API Access
Cingulate Total Debt 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-debt&ticker=CING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=CING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();