Deluxe (DLX) Accumulated Expenses (2009 - 2026)
Deluxe's Accumulated Expenses was $144.6 million in Q2 2026, down 6.8% from $155.15 million a year earlier but up 11.3% from the prior quarter.
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Analysis
Deluxe (DLX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Deluxe came in at $190.6 million, up 27.4% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $149.6 million in FY2024 (-21.9%), $191.43 million in FY2023 (-12.4%), $218.4 million in FY2022 (+0.7%) and $216.83 million in FY2021 (+22.4%).
- Quarterly Accumulated Expenses has moved between $129.9 million (Q1 2026) and $218.4 million (Q4 2022) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last eight quarters, with an average decline of 2.3%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2025 (growth of 27.4%); the worst was Q4 2024 (a decline of 21.9%).
- Per Business Quant data, DLX's Accumulated Expenses in the three quarters before Q2 2026 was $129.9 million (Q1 2026), $190.6 million (Q4 2025) and $173.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coinbase Global | 49.17 Bn | 5.98 Bn | - |
| 2 | PayPal Holdings | 45.28 Bn | 3.51 Bn | - |
| 3 | Block | 44.18 Bn | 15.44 Bn | 3.17 Bn |
| 4 | Iren | 31.11 Bn | 18.70 Bn | 103.89 Mn |
| 5 | Corpay | 25.52 Bn | 15.72 Bn | - |
| 6 | Fiserv | 24.03 Bn | 20.73 Bn | 2.90 Bn |
| 7 | Global Payments | 21.72 Bn | 155.29 Mn | 2.03 Bn |
| 8 | Bitmine Immersion Technologies | 15.32 Bn | 12.70 Bn | 40.81 Mn |
| 9 | Guidewire Software | 11.69 Bn | 8.26 Bn | 269.68 Mn |
| 10 | Deluxe | 1.05 Bn | 928.08 Mn | 259.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 144.60 Mn |
| Mar 31, 2026 | 129.90 Mn |
| Dec 31, 2025 | 190.60 Mn |
| Sep 30, 2025 | 173.73 Mn |
| Jun 30, 2025 | 155.15 Mn |
| Mar 31, 2025 | 148.84 Mn |
| Dec 31, 2024 | 149.60 Mn |
| Sep 30, 2024 | 152.03 Mn |
| Jun 30, 2024 | 149.15 Mn |
| Mar 31, 2024 | 154.88 Mn |
| Dec 31, 2023 | 191.43 Mn |
| Sep 30, 2023 | 187.02 Mn |
| Jun 30, 2023 | 155.20 Mn |
| Mar 31, 2023 | 185.71 Mn |
| Dec 31, 2022 | 218.40 Mn |
| Sep 30, 2022 | 217.50 Mn |
| Jun 30, 2022 | 195.78 Mn |
| Mar 31, 2022 | 201.91 Mn |
| Dec 31, 2021 | 216.83 Mn |
| Sep 30, 2021 | 203.78 Mn |
API Access
Deluxe Accumulated 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=accumulated-expenses&ticker=DLX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "DLX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=DLX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();