Dollar Tree (DLTR) Operating Expenses (2009 - 2026)
Dollar Tree (DLTR) reported Operating Expenses of $1.43 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 5.6% from $1.35 billion a year earlier and up 3.2% from the prior quarter.
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Analysis
Dollar Tree (DLTR) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Dollar Tree's Operating Expenses came in at $5.66 billion, up 9.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $5.47 billion, up 13.2% from FY2025.
- Operating Expenses has increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -1.5% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $4.83 billion in FY2025 (+13.8%), $4.25 billion in FY2024 (+15.3%), $3.68 billion in FY2023 (-37.9%) and $5.93 billion in FY2022 (+0.4%).
- Five-year quarterly Operating Expenses spans a low of -$1.3 billion in fiscal Q4 2024 and a high of $1.88 billion in fiscal Q3 2024.
- Year over year, Operating Expenses has now increased in each of the last six quarters, with growth averaging 4.6% over the last seven quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2023 (growth of 16.4%); the low point was fiscal Q1 2025 (a decline of 39.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $1.38 billion (Q1 2027), $1.46 billion (Q4 2026) and $1.39 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 862.64 Bn | 825.34 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 409.33 Bn | 338.62 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.65 Bn | 31.90 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 35.26 Bn | 21.42 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 27.43 Bn | 22.11 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.41 Bn | 20.40 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.77 Bn | 18.40 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 20.27 Bn | 20.06 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.74 Bn | 15.90 Bn | 1.68 Bn | 1.02 Bn |
| 10 | Performance Food | 14.36 Bn | 14.14 Bn | 2.17 Bn | 1.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.43 Bn |
| May 2, 2026 | 1.38 Bn |
| Jan 31, 2026 | 1.46 Bn |
| Nov 1, 2025 | 1.39 Bn |
| Aug 2, 2025 | 1.35 Bn |
| May 3, 2025 | 1.27 Bn |
| Feb 1, 2025 | 1.35 Bn |
| Nov 2, 2024 | 1.21 Bn |
| Aug 3, 2024 | 1.18 Bn |
| May 4, 2024 | 1.10 Bn |
| Feb 3, 2024 | -1.30 Bn |
| Oct 28, 2023 | 1.88 Bn |
| Jul 29, 2023 | 1.85 Bn |
| Apr 29, 2023 | 1.82 Bn |
| Jan 28, 2023 | -1.25 Bn |
| Oct 29, 2022 | 1.69 Bn |
| Jul 30, 2022 | 1.62 Bn |
| Apr 30, 2022 | 1.61 Bn |
| Jan 29, 2022 | 1.56 Bn |
| Oct 30, 2021 | 1.46 Bn |
API Access
Dollar Tree 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=DLTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=DLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();