Cingulate (CING) Operating Leases (2020 - 2026)
Cingulate's Operating Leases was $968,455 in Q2 2026.
Powered by 
Analysis
Cingulate (CING) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2025, Operating Leases at Cingulate came in at $1.1 million.
- Operating Leases shows a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- In earlier years, Operating Leases was $130,663 in FY2023 (-73.3%), $488,748 in FY2022 (-41.0%) and $828,503 in FY2021 (-21.7%).
- The Q2 2026 figure marks the lowest quarterly Operating Leases since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.50 Bn | 1,103.09 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 616.20 Bn | 534.73 Bn | 17.26 Bn |
| 3 | AbbVie | 500.82 Bn | 473.93 Bn | 12.70 Bn |
| 4 | Merck | 367.31 Bn | 321.69 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.77 Bn | 261.76 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.35 Bn | 235.04 Bn | 12.86 Bn |
| 7 | Amgen | 235.40 Bn | 190.80 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.59 Bn | 164.79 Bn | 6.22 Bn |
| 9 | Pfizer | 169.39 Bn | 116.04 Bn | 10.94 Bn |
| 10 | Cingulate | 61.32 Mn | 6.32 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 968,455.00 |
| Dec 31, 2025 | 1.10 Mn |
| Sep 30, 2025 | 1.16 Mn |
| Mar 31, 2024 | 33,145.00 |
| Dec 31, 2023 | 130,663.00 |
| Sep 30, 2023 | 225,368.00 |
| Jun 30, 2023 | 317,343.00 |
| Mar 31, 2023 | 405,482.00 |
| Dec 31, 2022 | 488,748.00 |
| Sep 30, 2022 | 578,551.00 |
| Jun 30, 2022 | 665,842.00 |
| Mar 31, 2022 | 749,508.00 |
| Dec 31, 2021 | 828,503.00 |
| Dec 31, 2020 | 1.06 Mn |
API Access
Cingulate Operating Leases 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=operating-leases&ticker=CING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=CING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();