Dollar Tree (DLTR) Total Liabilities (2009 - 2026)
Dollar Tree (DLTR) posted Total Liabilities of $10.6 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.4% from $9.78 billion a year earlier and up 2.8% from the prior quarter.
Dollar Tree (DLTR) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Dollar Tree's Total Liabilities came in at $9.71 billion, down 33.8% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of -6.3% (FY2021 to FY2026).
- In prior fiscal years, Dollar Tree's Total Liabilities was $14.67 billion in FY2025 (-0.3%), $14.71 billion in FY2024 (+3.1%), $14.27 billion in FY2023 (+1.9%) and $14 billion in FY2022 (+4.4%).
- The fiscal Q2 2027 figure stands as the highest quarterly Total Liabilities since fiscal Q1 2026.
- On a year-over-year basis, Total Liabilities increased in two of the last eight quarters, with an average decline of 15.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2027, with growth of 8.4%; the weakest was fiscal Q2 2026, with a decline of 35.8%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $10.32 billion (Q1 2027), $9.71 billion (Q4 2026) and $10.19 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.87 Bn | 953.31 Bn | 49.13 Bn | 189.41 Bn |
| 2 | Costco Wholesale | 470.05 Bn | 393.33 Bn | 12.19 Bn | 53.24 Bn |
| 3 | Kroger | 41.07 Bn | 27.22 Bn | 7.86 Bn | 43.65 Bn |
| 4 | Sysco | 37.76 Bn | 29.68 Bn | 4.05 Bn | 26.41 Bn |
| 5 | Dollar General | 30.25 Bn | 24.93 Bn | 3.68 Bn | 22.88 Bn |
| 6 | Dollar Tree | 26.22 Bn | 22.84 Bn | 2.10 Bn | 10.60 Bn |
| 7 | Caseys General Stores | 25.41 Bn | 23.40 Bn | 1.24 Bn | 5.03 Bn |
| 8 | US Foods Holding | 23.79 Bn | 23.59 Bn | 1.90 Bn | 10.03 Bn |
| 9 | Tractor Supply | 19.63 Bn | 18.78 Bn | 1.42 Bn | 9.59 Bn |
| 10 | Performance Food | 17.45 Bn | 17.23 Bn | 2.19 Bn | 13.85 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 10.60 Bn |
| May 2, 2026 | 10.32 Bn |
| Jan 31, 2026 | 9.71 Bn |
| Nov 1, 2025 | 10.19 Bn |
| Aug 2, 2025 | 9.78 Bn |
| May 3, 2025 | 14.39 Bn |
| Feb 1, 2025 | 14.67 Bn |
| Nov 2, 2024 | 15.70 Bn |
| Aug 3, 2024 | 15.24 Bn |
| May 4, 2024 | 14.80 Bn |
| Feb 3, 2024 | 14.71 Bn |
| Oct 28, 2023 | 15.03 Bn |
| Jul 29, 2023 | 14.40 Bn |
| Apr 29, 2023 | 14.21 Bn |
| Jan 28, 2023 | 14.27 Bn |
| Oct 29, 2022 | 14.63 Bn |
| Jul 30, 2022 | 14.28 Bn |
| Apr 30, 2022 | 14.13 Bn |
| Jan 29, 2022 | 14.00 Bn |
| Oct 30, 2021 | 14.15 Bn |
Dollar Tree Total Liabilities 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=total-liabilities&ticker=DLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();