Celcuity (CELC) Accumulated Expenses (2016 - 2025)
Celcuity (CELC) posted Accumulated Expenses of $27.28 million for Q3 2025, up 60.7% from $16.97 million a year earlier but down 4.8% from the prior quarter.
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Analysis
Celcuity (CELC) Accumulated Expenses (2016 - 2025) Analysis & Trends
At the end of FY2024, Celcuity's Accumulated Expenses came in at $22.19 million, up 148.5% from FY2023.
- Annual Accumulated Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 107.0% (FY2019 to FY2024).
- In prior years, Celcuity's Accumulated Expenses was $8.93 million in FY2023 (+119.9%), $4.06 million in FY2022 (+405.7%), $802,893 in FY2021 (+3.7%) and $774,612 in FY2020 (+32.6%).
- Quarterly Accumulated Expenses has run from a low of $660,849 in Q1 2021 to a high of $28.64 million in Q2 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 24 quarters, with growth averaging 150.7% over the last eight quarters.
- The year-over-year growth in Accumulated Expenses has ranged between 3.7% (Q4 2021) and 405.7% (Q4 2022) over the last five years.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $28.64 million (Q2 2025), $22.82 million (Q1 2025) and $22.19 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Celcuity | 3.29 Bn | 2.65 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 27.28 Mn |
| Jun 30, 2025 | 28.64 Mn |
| Mar 31, 2025 | 22.82 Mn |
| Dec 31, 2024 | 22.19 Mn |
| Sep 30, 2024 | 16.97 Mn |
| Jun 30, 2024 | 13.15 Mn |
| Mar 31, 2024 | 11.24 Mn |
| Dec 31, 2023 | 8.93 Mn |
| Sep 30, 2023 | 6.89 Mn |
| Jun 30, 2023 | 3.87 Mn |
| Mar 31, 2023 | 3.04 Mn |
| Dec 31, 2022 | 4.06 Mn |
| Sep 30, 2022 | 3.28 Mn |
| Jun 30, 2022 | 1.68 Mn |
| Mar 31, 2022 | 1.22 Mn |
| Dec 31, 2021 | 802,893.00 |
| Sep 30, 2021 | 879,851.00 |
| Jun 30, 2021 | 729,672.00 |
| Mar 31, 2021 | 660,849.00 |
| Dec 31, 2020 | 774,612.00 |
API Access
Celcuity 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=accumulated-expenses&ticker=CELC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=CELC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();