Dollar Tree (DLTR) Cash & Equivalents (2009 - 2026)
Dollar Tree (DLTR) posted Cash & Equivalents of $1.06 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 58.8% from $666.3 million a year earlier and up 5.0% from the prior quarter.
Dollar Tree (DLTR) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Dollar Tree's Cash & Equivalents came in at $717.8 million, down 42.9% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -12.7% (FY2021 to FY2026).
- In prior fiscal years, Dollar Tree's Cash & Equivalents was $1.26 billion in FY2025 (+195.5%), $425.2 million in FY2024 (-33.9%), $642.8 million in FY2023 (-34.7%) and $984.9 million in FY2022 (-30.5%).
- The fiscal Q2 2027 figure stands as the highest quarterly Cash & Equivalents since fiscal Q4 2025.
- On a year-over-year basis, Cash & Equivalents increased in six of the last eight quarters, with growth averaging 59.6%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q4 2025, with growth of 195.5%; the weakest was fiscal Q1 2025, with a decline of 55.2%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $1.01 billion (Q1 2027), $717.8 million (Q4 2026) and $594.8 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Performance Food | 14.34 Bn | 14.12 Bn | 2.17 Bn | 92.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.06 Bn |
| May 2, 2026 | 1.01 Bn |
| Jan 31, 2026 | 717.80 Mn |
| Nov 1, 2025 | 594.80 Mn |
| Aug 2, 2025 | 666.30 Mn |
| May 3, 2025 | 1.01 Bn |
| Feb 1, 2025 | 1.26 Bn |
| Nov 2, 2024 | 478.30 Mn |
| Aug 3, 2024 | 380.20 Mn |
| May 4, 2024 | 390.60 Mn |
| Feb 3, 2024 | 425.20 Mn |
| Oct 28, 2023 | 444.60 Mn |
| Jul 29, 2023 | 512.70 Mn |
| Apr 29, 2023 | 872.80 Mn |
| Jan 28, 2023 | 642.80 Mn |
| Oct 29, 2022 | 439.00 Mn |
| Jul 30, 2022 | 688.90 Mn |
| Apr 30, 2022 | 1.22 Bn |
| Jan 29, 2022 | 984.90 Mn |
| Oct 30, 2021 | 701.40 Mn |
Dollar Tree Cash & Equivalents 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=cash-and-equivalents&ticker=DLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();