Celcuity (CELC) Other Accumulated Expenses (2018 - 2026)
Celcuity (CELC) recorded Other Accumulated Expenses of $20.58 million in Q2 2026.
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Analysis
Celcuity (CELC) Other Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Celcuity reported Other Accumulated Expenses of $15.87 million, up 189.7% from FY2024.
- Annual Other Accumulated Expenses has increased for four straight years, with a four-year compound annual growth rate of 145.3% (FY2021 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $5.48 million in FY2024 (+210.6%), $1.76 million in FY2023 (+89.8%), $929,216 in FY2022 (+111.9%) and $438,477 in FY2021.
- The Q2 2026 figure is the highest quarterly Other Accumulated Expenses in data going back to Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Celcuity | 3.68 Bn | 3.68 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.58 Mn |
| Dec 31, 2025 | 15.87 Mn |
| Dec 31, 2024 | 5.48 Mn |
| Dec 31, 2023 | 1.76 Mn |
| Dec 31, 2022 | 929,216.00 |
| Dec 31, 2021 | 438,477.00 |
| Dec 31, 2019 | 112,746.00 |
| Dec 31, 2018 | 52,347.00 |
API Access
Celcuity Other Accumulated 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=other-accumulated-expenses&ticker=CELC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "CELC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=CELC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();