Celcuity (CELC) Change in Accured Expenses (2016 - 2025)
Celcuity's Change in Accured Expenses came in at $11.12 million for Q4 2025, compared with -$5.04 million a year earlier and up 434.3% from the prior quarter.
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Analysis
Celcuity (CELC) Change in Accured Expenses (2016 - 2025) Analysis & Trends
For FY2025, Celcuity's Change in Accured Expenses was $15.39 million, up 410.7% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 140.7% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $3.01 million in FY2024 (-38.1%), $4.87 million in FY2023 (+49.4%), $3.26 million in FY2022 and $28,280 in FY2021 (-85.1%).
- The Q4 2025 figure represents the highest quarterly Change in Accured Expenses in data going back to Q4 2016.
- Year-over-year, Change in Accured Expenses increased in two of the last five quarters, with growth averaging 4.2%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2022 (growth of 506.1%), and the weakest in Q1 2025 (a decline of 72.5%).
- Business Quant data shows CELC's Change in Accured Expenses at $2.08 million (Q3 2025), $1.55 million (Q2 2025) and $633,000 (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.20 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -251.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | - |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 901.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 338.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 222.50 Mn |
| 10 | Celcuity | 3.89 Bn | 3.89 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 11.12 Mn |
| Sep 30, 2025 | 2.08 Mn |
| Jun 30, 2025 | 1.55 Mn |
| Mar 31, 2025 | 633,000.00 |
| Dec 31, 2024 | -5.04 Mn |
| Sep 30, 2024 | 3.83 Mn |
| Jun 30, 2024 | 1.92 Mn |
| Mar 31, 2024 | 2.30 Mn |
| Dec 31, 2023 | 2.04 Mn |
| Sep 30, 2023 | 3.02 Mn |
| Jun 30, 2023 | 830,957.00 |
| Mar 31, 2023 | -1.02 Mn |
| Dec 31, 2022 | 986,965.00 |
| Sep 30, 2022 | 1.40 Mn |
| Jun 30, 2022 | 461,913.00 |
| Mar 31, 2022 | 413,499.00 |
| Dec 31, 2021 | -76,959.00 |
| Sep 30, 2021 | 230,179.00 |
| Jun 30, 2021 | -11,177.00 |
| Mar 31, 2021 | -113,763.00 |
API Access
Celcuity Change in Accured 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=change-in-accured-expenses&ticker=CELC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CELC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();