Cimpress (CMPR) Change in Accured Expenses (2009 - 2026)
Cimpress' Change in Accured Expenses came in at $20.37 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 660.7% from $2.68 million a year earlier.
Cimpress (CMPR) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Cimpress' Change in Accured Expenses was $17.83 million, down 47.5% from FY2025.
- Change in Accured Expenses carries a five-year compound annual growth rate of -5.1% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accured Expenses was $33.98 million in FY2025, -$14.02 million in FY2024, -$17.95 million in FY2023 and $33.58 million in FY2022 (+44.6%).
- The five-year range for quarterly Change in Accured Expenses is -$47.32 million (fiscal Q4 2023) to $36.82 million (fiscal Q2 2025).
- Year-over-year, Change in Accured Expenses increased in 1 of the last four quarters, with growth averaging 148.1%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q4 2026 (growth of 660.7%), and the weakest in fiscal Q2 2022 (a decline of 90.6%).
- Business Quant data shows CMPR's Change in Accured Expenses at -$36.32 million (Q3 2026), $24.12 million (Q2 2026) and $9.66 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 60.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | - |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | -6.96 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 81.49 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 53.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Cimpress | 1.83 Bn | 1.01 Bn | 429.99 Mn | 20.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.37 Mn |
| Mar 31, 2026 | -36.32 Mn |
| Dec 31, 2025 | 24.12 Mn |
| Sep 30, 2025 | 9.66 Mn |
| Jun 30, 2025 | 2.68 Mn |
| Mar 31, 2025 | -17.58 Mn |
| Dec 31, 2024 | 36.82 Mn |
| Sep 30, 2024 | 12.06 Mn |
| Jun 30, 2024 | -25.61 Mn |
| Mar 31, 2024 | 21.68 Mn |
| Dec 31, 2023 | -24.07 Mn |
| Sep 30, 2023 | 13.99 Mn |
| Jun 30, 2023 | -47.32 Mn |
| Mar 31, 2023 | 30.52 Mn |
| Dec 31, 2022 | -17.46 Mn |
| Sep 30, 2022 | 16.31 Mn |
| Jun 30, 2022 | 7.07 Mn |
| Mar 31, 2022 | 6.92 Mn |
| Dec 31, 2021 | 2.09 Mn |
| Sep 30, 2021 | 17.49 Mn |
Cimpress 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=CMPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CMPR", "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=CMPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();