Dollar Tree (DLTR) Other Operating Expenses (2009 - 2026)
Dollar Tree's Other Operating Expenses came in at -$8.3 million for fiscal Q4 2026 (quarter ended Jan 31, 2026), compared with -$50.9 million a year earlier.
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Analysis
Dollar Tree (DLTR) Other Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Dollar Tree's Other Operating Expenses was -$9 million.
- Going back by fiscal year, Other Operating Expenses was -$52.1 million in FY2025 and -$10.9 million in FY2024.
- The fiscal Q4 2026 figure represents the highest quarterly Other Operating Expenses since fiscal Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn |
| 10 | Performance Food | 17.40 Bn | 17.18 Bn | 2.19 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 |
| Oct 31, 2015 | 1.25 Bn |
| Aug 1, 2015 | 516.00 Mn |
| Jan 31, 2015 | -1.42 Bn |
| Nov 1, 2014 | 953.70 Mn |
| Aug 2, 2014 | 464.70 Mn |
| Feb 1, 2014 | -1.33 Bn |
| Nov 2, 2013 | 886.90 Mn |
| Aug 3, 2013 | 439.50 Mn |
| Feb 2, 2013 | -1.24 Bn |
| Oct 27, 2012 | 829.90 Mn |
| Jul 28, 2012 | 414.70 Mn |
| Jan 28, 2012 | -1.15 Bn |
| Oct 29, 2011 | 768.00 Mn |
| Jul 30, 2011 | 379.10 Mn |
| Jan 29, 2011 | -1.05 Bn |
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();