Creditriskmonitor Com (CRMZ) Change in Accured Expenses (2011 - 2026)
Creditriskmonitor Com (CRMZ) posted Change in Accured Expenses of $616,452 for Q2 2026, up 2.8% from $599,735 a year earlier.
Creditriskmonitor Com (CRMZ) Change in Accured Expenses (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Creditriskmonitor Com was $617,279, up 4.7% year-over-year; for FY2025, it was $876,098, up 86.9% from FY2024.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- In prior years, Creditriskmonitor Com's Change in Accured Expenses was $468,683 in FY2024, -$111,357 in FY2023, $471,086 in FY2022 and -$77,196 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses since Q3 2024.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last four quarters, with an average decline of 3.2%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q3 2022, with growth of 300.5%; the weakest was Q3 2025, with a decline of 40.0%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$877,948 (Q1 2026), $343,161 (Q4 2025) and $535,614 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Creditriskmonitor Com | 22.61 Mn | -42.50 Mn | - | 616,452.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 616,452.00 |
| Mar 31, 2026 | -877,948.00 |
| Dec 31, 2025 | 343,161.00 |
| Sep 30, 2025 | 535,614.00 |
| Jun 30, 2025 | 599,735.00 |
| Mar 31, 2025 | -602,412.00 |
| Dec 31, 2024 | -300,299.00 |
| Sep 30, 2024 | 892,642.00 |
| Jun 30, 2024 | 666,607.00 |
| Mar 31, 2024 | -790,267.00 |
| Dec 31, 2023 | -279,430.00 |
| Sep 30, 2023 | 663,816.00 |
| Jun 30, 2023 | 526,975.00 |
| Mar 31, 2023 | -1.02 Mn |
| Dec 31, 2022 | 473,580.00 |
| Sep 30, 2022 | 281,633.00 |
| Jun 30, 2022 | 259,587.00 |
| Mar 31, 2022 | -543,714.00 |
| Dec 31, 2021 | -12,101.00 |
| Sep 30, 2021 | 70,314.00 |
Creditriskmonitor Com 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=CRMZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CRMZ", "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=CRMZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();