Dollar Tree (DLTR) Other Non-Current Liabilities (2009 - 2026)
Dollar Tree's Other Non-Current Liabilities was $270.1 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 35.9% from $198.8 million a year earlier and up 7.0% from the prior quarter.
Dollar Tree (DLTR) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Other Non-Current Liabilities at Dollar Tree came in at $244.3 million, up 33.8% from FY2025.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -7.1% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Liabilities was $182.6 million in FY2025 (+27.2%), $143.5 million in FY2024 (-41.5%), $245.4 million in FY2023 (-4.2%) and $256.1 million in FY2022 (-27.4%).
- The fiscal Q2 2027 figure marks the highest quarterly Other Non-Current Liabilities since fiscal Q3 2022.
- Compared with a year earlier, Other Non-Current Liabilities has increased for seven straight quarters, with growth averaging 24.4% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q2 2027 (growth of 35.9%); the worst was fiscal Q1 2025 (a decline of 43.6%).
- Per Business Quant data, DLTR's Other Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $252.5 million (Q1 2027), $244.3 million (Q4 2026) and $212.2 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 270.10 Mn |
| May 2, 2026 | 252.50 Mn |
| Jan 31, 2026 | 244.30 Mn |
| Nov 1, 2025 | 212.20 Mn |
| Aug 2, 2025 | 198.80 Mn |
| May 3, 2025 | 186.20 Mn |
| Feb 1, 2025 | 182.60 Mn |
| Nov 2, 2024 | 161.50 Mn |
| Aug 3, 2024 | 152.30 Mn |
| May 4, 2024 | 141.10 Mn |
| Feb 3, 2024 | 143.50 Mn |
| Oct 28, 2023 | 235.10 Mn |
| Jul 29, 2023 | 249.30 Mn |
| Apr 29, 2023 | 250.30 Mn |
| Jan 28, 2023 | 245.40 Mn |
| Oct 29, 2022 | 251.70 Mn |
| Jul 30, 2022 | 256.20 Mn |
| Apr 30, 2022 | 253.00 Mn |
| Jan 29, 2022 | 256.10 Mn |
| Oct 30, 2021 | 349.10 Mn |
Dollar Tree Other Non-Current 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=other-non-current-liabilities&ticker=DLTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-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=other-non-current-liabilities&ticker=DLTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();