Target (TGT) Change in Accured Expenses (2009 - 2026)
Target's Change in Accured Expenses was $595 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$159 million a year earlier.
Target (TGT) Change in Accured Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Target's Change in Accured Expenses was $645 million through Aug 1, 2026, up 237.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $156 million, down 47.8% from FY2025.
- Change in Accured Expenses shows a five-year compound annual growth rate of -39.5% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was $299 million in FY2025 (-58.9%), $727 million in FY2024, -$624 million in FY2023 and -$746 million in FY2022.
- The fiscal Q2 2027 figure marks the highest quarterly Change in Accured Expenses since fiscal Q4 2021.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 87.4%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q3 2026 (growth of 398.8%); the worst was fiscal Q4 2026 (a decline of 86.9%).
- Per Business Quant data, TGT's Change in Accured Expenses in the three fiscal quarters before Q2 2027 was -$408 million (Q1 2027), $54 million (Q4 2026) and $404 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 595.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 199.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 111.71 Mn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 595.00 Mn |
| May 2, 2026 | -408.00 Mn |
| Jan 31, 2026 | 54.00 Mn |
| Nov 1, 2025 | 404.00 Mn |
| Aug 2, 2025 | -159.00 Mn |
| May 3, 2025 | -143.00 Mn |
| Feb 1, 2025 | 412.00 Mn |
| Nov 2, 2024 | 81.00 Mn |
| Aug 3, 2024 | 145.00 Mn |
| May 4, 2024 | -339.00 Mn |
| Feb 3, 2024 | 199.00 Mn |
| Oct 28, 2023 | 264.00 Mn |
| Jul 29, 2023 | 197.00 Mn |
| Apr 29, 2023 | 67.00 Mn |
| Jan 28, 2023 | -46.00 Mn |
| Oct 29, 2022 | 66.00 Mn |
| Jul 30, 2022 | -139.00 Mn |
| Apr 30, 2022 | -505.00 Mn |
| Jan 29, 2022 | -24.00 Mn |
| Oct 30, 2021 | 109.00 Mn |
Target Change in Accured 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=change-in-accured-expenses&ticker=TGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "TGT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=TGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();