Cimpress (CMPR) Change in Accrued Expenses (2009 - 2026)
Cimpress' Change in Accrued Expenses came in at $26.63 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 175.7% from $9.66 million a year earlier and up 30.8% from the prior quarter.
Cimpress (CMPR) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Cimpress reported Change in Accrued Expenses of $34.79 million, up 10.2% year-over-year; for FY2026 (ended Jun 30, 2026), it was $17.83 million, down 47.5% from FY2025.
- Change in Accrued Expenses carries a five-year compound annual growth rate of -5.1% (FY2021 to FY2026).
- Going back by fiscal year, Change in Accrued 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 fiscal Q1 2027 figure represents the highest quarterly Change in Accrued Expenses since fiscal Q2 2025.
- Year-over-year, Change in Accrued Expenses increased in two of the last four quarters, with growth averaging 195.5%.
- The fastest year-over-year change in Change in Accrued 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 Accrued Expenses at $20.37 million (Q4 2026), -$36.32 million (Q3 2026) and $24.12 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 156.49 Bn | 114.42 Bn | 5.98 Bn | 529.75 Mn |
| 2 | Cintas | 89.36 Bn | 88.45 Bn | 1.55 Bn | -77.80 Mn |
| 3 | Iron Mountain | 33.13 Bn | 32.33 Bn | 1.06 Bn | -148.01 Mn |
| 4 | Rollins | 18.53 Bn | 18.08 Bn | 582.90 Mn | 32.99 Mn |
| 5 | APi | 18.33 Bn | 15.55 Bn | 770.00 Mn | - |
| 6 | UL Solutions | 16.46 Bn | 14.45 Bn | 423.00 Mn | 52.00 Mn |
| 7 | Aramark | 14.43 Bn | 12.37 Bn | 430.34 Mn | -6.96 Mn |
| 8 | Gartner | 12.19 Bn | 5.67 Bn | 1.07 Bn | 7.27 Mn |
| 9 | Rentokil Initial | 12.05 Bn | 5.56 Bn | - | - |
| 10 | Cimpress | 1.35 Bn | 535.31 Mn | 408.16 Mn | 26.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 26.63 Mn |
| 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 |
Cimpress Change in Accrued 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();