Cingulate (CING) Net Long-Term Debt Issued (Repaid) (2021 - 2025)
Cingulate's Net Long-Term Debt Issued (Repaid) came in at $6 million for FY2025, up 21.2% from $4.95 million in FY2024.
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Analysis
Cingulate (CING) Net Long-Term Debt Issued (Repaid) (2021 - 2025) Analysis & Trends
Going back to FY2021, Cingulate's Net Long-Term Debt Issued (Repaid) data covers 5 years.
- The FY2025 figure represents the highest annual Net Long-Term Debt Issued (Repaid) in data going back to FY2021.
- Per Business Quant, earlier years put Net Long-Term Debt Issued (Repaid) at $4.95 million in FY2024 (+65.8%), $2.98 million in FY2023 (-40.1%), $4.98 million in FY2022 and -$936,594 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | -1.00 Mn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.96 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | - |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | - |
| 10 | Cingulate | 63.03 Mn | -8.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -4,430.00 |
| Dec 31, 2024 | -4,376.00 |
| Sep 30, 2024 | -4,289.00 |
| Jun 30, 2024 | -4,231.00 |
| Mar 31, 2024 | -4,167.00 |
| Dec 31, 2023 | -4,104.00 |
| Sep 30, 2023 | -4,043.00 |
| Jun 30, 2023 | -3,980.00 |
| Mar 31, 2023 | -3,920.00 |
| Dec 31, 2022 | -3,861.00 |
| Sep 30, 2022 | -3,802.00 |
| Jun 30, 2022 | -3,745.00 |
| Mar 31, 2022 | -3,682.00 |
| Dec 31, 2021 | -464,116.00 |
| Sep 30, 2021 | -259,625.00 |
| Jun 30, 2021 | -108,415.00 |
| Mar 31, 2021 | -34,649.00 |
API Access
Cingulate Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=CING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=CING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();