CorMedix (CRMD) Change in Accured Expenses (2010 - 2025)
CorMedix's Change in Accured Expenses came in at $52.28 million for Q4 2025, up 248.9% from $14.98 million a year earlier but down 4.6% from the prior quarter.
CorMedix (CRMD) Change in Accured Expenses (2010 - 2025) Analysis & Trends
For FY2025, CorMedix's Change in Accured Expenses was $100.77 million, up 338.4% from FY2024.
- Change in Accured Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 121.7% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $22.99 million in FY2024 (+667.4%), $3 million in FY2023 (+211.4%), $961,963 in FY2022 (-11.1%) and $1.08 million in FY2021 (-42.5%).
- The five-year range for quarterly Change in Accured Expenses is -$6.65 million (Q2 2025) to $54.81 million (Q3 2025).
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 359.2%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2024 (growth of 718.5%), and the weakest in Q4 2022 (a decline of 62.4%).
- Business Quant data shows CRMD's Change in Accured Expenses at $54.81 million (Q3 2025), -$6.65 million (Q2 2025) and $331,443 (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | CorMedix | 558.43 Mn | -94.09 Mn | 77.13 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 52.28 Mn |
| Sep 30, 2025 | 54.81 Mn |
| Jun 30, 2025 | -6.65 Mn |
| Mar 31, 2025 | 331,443.00 |
| Dec 31, 2024 | 14.98 Mn |
| Sep 30, 2024 | 9.36 Mn |
| Jun 30, 2024 | 1.05 Mn |
| Mar 31, 2024 | -2.42 Mn |
| Dec 31, 2023 | 1.83 Mn |
| Sep 30, 2023 | 794,472.00 |
| Jun 30, 2023 | 1.25 Mn |
| Mar 31, 2023 | -884,872.00 |
| Dec 31, 2022 | 807,375.00 |
| Sep 30, 2022 | -208,016.00 |
| Jun 30, 2022 | -221,029.00 |
| Mar 31, 2022 | 583,633.00 |
| Dec 31, 2021 | 2.15 Mn |
| Sep 30, 2021 | -1.92 Mn |
| Jun 30, 2021 | -627,032.00 |
| Mar 31, 2021 | 1.48 Mn |
CorMedix 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=CRMD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CRMD", "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=CRMD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();