Cingulate (CING) Operating Expenses (2021 - 2026)
Cingulate's Operating Expenses was $5.41 million in Q2 2026, up 16.5% from $4.65 million a year earlier.
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Analysis
Cingulate (CING) Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cingulate's Operating Expenses was $21.65 million through Jun 30, 2026, up 21.3% year-over-year; for FY2025, it came in at $19.94 million, up 27.4% from FY2024.
- Operating Expenses shows a four-year compound annual growth rate of -0.9% (FY2021 to FY2025).
- In earlier years, Operating Expenses was $15.64 million in FY2024 (-31.3%), $22.76 million in FY2023 (+30.0%), $17.5 million in FY2022 (-15.4%) and $20.68 million in FY2021.
- Quarterly Operating Expenses has moved between $2.65 million (Q4 2021) and $15.28 million (Q3 2021) over five years.
- Compared with a year earlier, Operating Expenses was higher in four of the last seven quarters, with growth averaging 15.5%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 276.6%); the worst was Q3 2022 (a decline of 74.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Cingulate | 59.73 Mn | 4.74 Mn | - | 5.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.41 Mn |
| Dec 31, 2025 | 5.59 Mn |
| Sep 30, 2025 | 6.00 Mn |
| Jun 30, 2025 | 4.65 Mn |
| Mar 31, 2025 | 3.71 Mn |
| Dec 31, 2024 | 6.21 Mn |
| Sep 30, 2024 | 3.28 Mn |
| Jun 30, 2024 | 3.21 Mn |
| Mar 31, 2024 | 2.95 Mn |
| Dec 31, 2023 | 6.80 Mn |
| Sep 30, 2023 | 5.75 Mn |
| Jun 30, 2023 | 6.36 Mn |
| Mar 31, 2023 | 3.85 Mn |
| Dec 31, 2022 | 4.48 Mn |
| Sep 30, 2022 | 3.97 Mn |
| Jun 30, 2022 | 4.05 Mn |
| Mar 31, 2022 | 5.01 Mn |
| Dec 31, 2021 | 2.65 Mn |
| Sep 30, 2021 | 15.28 Mn |
| Jun 30, 2021 | 1.42 Mn |
API Access
Cingulate Operating Expenses 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-expenses&ticker=CING&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=CING&period=max&api_key=YOUR_API_KEY");
const data = await res.json();