Dollar Tree (DLTR) Tax Provisions (2009 - 2026)
Dollar Tree's Tax Provisions came in at $171.9 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 223.7% from $53.1 million a year earlier and up 49.3% from the prior quarter.
Dollar Tree (DLTR) Tax Provisions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Dollar Tree reported Tax Provisions of $528.5 million, up 41.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $404.2 million, up 18.5% from FY2025.
- Tax Provisions carries a five-year compound annual growth rate of 0.3% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $341.1 million in FY2025 (-13.9%), $396.1 million in FY2024 (-16.0%), $471.6 million in FY2023 (+55.0%) and $304.3 million in FY2022 (-23.5%).
- The fiscal Q2 2027 figure represents the highest quarterly Tax Provisions since fiscal Q4 2024.
- Year-over-year, Tax Provisions has increased for six consecutive quarters, with growth averaging 37.5% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q2 2027 (growth of 223.7%), and the weakest in fiscal Q4 2022 (a decline of 68.9%).
- Business Quant data shows DLTR's Tax Provisions at $115.1 million (Q1 2027), $164.8 million (Q4 2026) and $76.7 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 1.48 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 746.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 169.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 175.97 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 73.31 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 171.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 94.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 89.30 Mn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 59.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 171.90 Mn |
| May 2, 2026 | 115.10 Mn |
| Jan 31, 2026 | 164.80 Mn |
| Nov 1, 2025 | 76.70 Mn |
| Aug 2, 2025 | 53.10 Mn |
| May 3, 2025 | 109.60 Mn |
| Feb 1, 2025 | 140.10 Mn |
| Nov 2, 2024 | 70.00 Mn |
| Aug 3, 2024 | 43.60 Mn |
| May 4, 2024 | 87.40 Mn |
| Feb 3, 2024 | 179.00 Mn |
| Oct 28, 2023 | 59.10 Mn |
| Jul 29, 2023 | 63.30 Mn |
| Apr 29, 2023 | 94.70 Mn |
| Jan 28, 2023 | 114.20 Mn |
| Oct 29, 2022 | 81.50 Mn |
| Jul 30, 2022 | 114.80 Mn |
| Apr 30, 2022 | 161.10 Mn |
| Jan 29, 2022 | 45.00 Mn |
| Oct 30, 2021 | 60.10 Mn |
Dollar Tree Tax Provisions 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=tax-provisions&ticker=DLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();