Dollar Tree (DLTR) Other Accumulated Expenses (2009 - 2026)
Dollar Tree (DLTR) posted Other Accumulated Expenses of $665.6 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 7.9% from $616.9 million a year earlier and up 8.2% from the prior quarter.
Dollar Tree (DLTR) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Dollar Tree's Other Accumulated Expenses came in at $697.7 million, up 21.5% from FY2025.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -3.1% (FY2021 to FY2026).
- In prior fiscal years, Dollar Tree's Other Accumulated Expenses was $574.4 million in FY2025 (-0.7%), $578.3 million in FY2024 (-29.3%), $817.7 million in FY2023 (+2.0%) and $802 million in FY2022 (-1.6%).
- Quarterly Other Accumulated Expenses has run from a low of $512.5 million in fiscal Q1 2025 to a high of $1.07 billion in fiscal Q3 2024 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last six quarters, with growth averaging 2.8% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was fiscal Q4 2026, with growth of 21.5%; the weakest was fiscal Q3 2025, with a decline of 49.1%.
- According to Business Quant data, Other Accumulated Expenses for the three prior fiscal quarters was $615.4 million (Q1 2027), $697.7 million (Q4 2026) and $618.6 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 408.32 Bn | 337.62 Bn | 9.01 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 665.60 Mn |
| May 2, 2026 | 615.40 Mn |
| Jan 31, 2026 | 697.70 Mn |
| Nov 1, 2025 | 618.60 Mn |
| Aug 2, 2025 | 616.90 Mn |
| May 3, 2025 | 549.90 Mn |
| Feb 1, 2025 | 574.40 Mn |
| Nov 2, 2024 | 543.60 Mn |
| Aug 3, 2024 | 560.10 Mn |
| May 4, 2024 | 512.50 Mn |
| Feb 3, 2024 | 578.30 Mn |
| Oct 28, 2023 | 1.07 Bn |
| Jul 29, 2023 | 885.30 Mn |
| Apr 29, 2023 | 942.90 Mn |
| Jan 28, 2023 | 817.70 Mn |
| Oct 29, 2022 | 1.04 Bn |
| Jul 30, 2022 | 913.50 Mn |
| Apr 30, 2022 | 926.30 Mn |
| Jan 29, 2022 | 802.00 Mn |
| Oct 30, 2021 | 918.40 Mn |
Dollar Tree Other 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=other-accumulated-expenses&ticker=DLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "DLTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=DLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();