Dollar Tree (DLTR) Other Operating Expenses (2025 - 2026)
Dollar Tree (DLTR) posted Other Operating Expenses of $17.7 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 121.3% from $8 million a year earlier but down 16.1% from the prior quarter.
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Analysis
Dollar Tree (DLTR) Other Operating Expenses (2025 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Other Operating Expenses at Dollar Tree was $85.7 million, up 971.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $54.9 million.
- Quarterly Other Operating Expenses has run from a low of $8 million in fiscal Q2 2026 to a high of $23.8 million in fiscal Q3 2026 over five years.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $21.1 million (Q1 2027), $23.1 million (Q4 2026) and $23.8 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 936.34 Bn | 892.78 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 443.48 Bn | 366.76 Bn | 12.19 Bn |
| 3 | Sysco | 39.33 Bn | 33.58 Bn | 4.13 Bn |
| 4 | Kroger | 38.87 Bn | 25.03 Bn | 7.86 Bn |
| 5 | Dollar General | 29.16 Bn | 23.84 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 25.71 Bn | 23.71 Bn | 1.24 Bn |
| 7 | Dollar Tree | 23.91 Bn | 20.53 Bn | 2.10 Bn |
| 8 | US Foods Holding | 22.37 Bn | 22.17 Bn | 1.92 Bn |
| 9 | Tractor Supply | 17.05 Bn | 16.22 Bn | 1.68 Bn |
| 10 | Performance Food | 15.11 Bn | 14.90 Bn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 17.70 Mn |
| May 2, 2026 | 21.10 Mn |
| Jan 31, 2026 | 23.10 Mn |
| Nov 1, 2025 | 23.80 Mn |
| Aug 2, 2025 | 8.00 Mn |
API Access
Dollar Tree Other 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=other-operating-expenses&ticker=DLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=DLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();