Cimpress (CMPR) Operating Expenses (2009 - 2026)
Cimpress' Operating Expenses came in at $155.73 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.8% from $150.1 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Cimpress (CMPR) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Cimpress' Operating Expenses was $594.11 million, up 6.5% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $558.09 million in FY2025 (+5.7%), $528.13 million in FY2024 (-4.9%), $555.26 million in FY2023 (+10.2%) and $503.79 million in FY2022 (+11.9%).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Expenses since fiscal Q3 2023.
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2022 (growth of 24.3%), and the weakest in fiscal Q3 2024 (a decline of 14.2%).
- Business Quant data shows CMPR's Operating Expenses at $148.63 million (Q3 2026), $150.58 million (Q2 2026) and $139.18 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Cimpress | 1.95 Bn | 1.13 Bn | 429.99 Mn | 155.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.73 Mn |
| Mar 31, 2026 | 148.63 Mn |
| Dec 31, 2025 | 150.58 Mn |
| Sep 30, 2025 | 139.18 Mn |
| Jun 30, 2025 | 150.10 Mn |
| Mar 31, 2025 | 134.13 Mn |
| Dec 31, 2024 | 139.98 Mn |
| Sep 30, 2024 | 133.89 Mn |
| Jun 30, 2024 | 138.38 Mn |
| Mar 31, 2024 | 138.17 Mn |
| Dec 31, 2023 | 129.24 Mn |
| Sep 30, 2023 | 122.34 Mn |
| Jun 30, 2023 | 125.19 Mn |
| Mar 31, 2023 | 160.98 Mn |
| Dec 31, 2022 | 138.72 Mn |
| Sep 30, 2022 | 130.37 Mn |
| Jun 30, 2022 | 143.38 Mn |
| Mar 31, 2022 | 129.60 Mn |
| Dec 31, 2021 | 117.30 Mn |
| Sep 30, 2021 | 114.13 Mn |
API Access
Cimpress Operating 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=operating-expenses&ticker=CMPR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=CMPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();