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 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Celcuity | 3.89 Bn | 3.89 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();