Target (TGT) Accumulated Expenses (2009 - 2026)
Target (TGT) posted Accumulated Expenses of $6.74 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 11.0% from $6.07 billion a year earlier and up 11.1% from the prior quarter.
Target (TGT) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Target's Accumulated Expenses came in at $6.48 billion, up 6.0% from FY2025.
- Annual Accumulated Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 1.1% (FY2021 to FY2026).
- In prior fiscal years, Target's Accumulated Expenses was $6.11 billion in FY2025 (+0.3%), $6.09 billion in FY2024 (+3.5%), $5.88 billion in FY2023 (-3.5%) and $6.1 billion in FY2022 (-0.4%).
- The fiscal Q2 2027 figure stands as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2009.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last seven quarters, with growth averaging 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2022, with growth of 18.0%; the weakest was fiscal Q3 2025, with a decline of 5.9%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $6.06 billion (Q1 2027), $6.48 billion (Q4 2026) and $6.32 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn |
| 10 | JD.com | 31.99 Bn | -78.19 Bn | 8.71 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 6.74 Bn |
| May 2, 2026 | 6.06 Bn |
| Jan 31, 2026 | 6.48 Bn |
| Nov 1, 2025 | 6.32 Bn |
| Aug 2, 2025 | 6.07 Bn |
| May 3, 2025 | 6.03 Bn |
| Feb 1, 2025 | 6.11 Bn |
| Nov 2, 2024 | 5.74 Bn |
| Aug 3, 2024 | 5.75 Bn |
| May 4, 2024 | 5.68 Bn |
| Feb 3, 2024 | 6.09 Bn |
| Oct 28, 2023 | 6.10 Bn |
| Jul 29, 2023 | 5.95 Bn |
| Apr 29, 2023 | 5.73 Bn |
| Jan 28, 2023 | 5.88 Bn |
| Oct 29, 2022 | 6.14 Bn |
| Jul 30, 2022 | 5.91 Bn |
| Apr 30, 2022 | 5.58 Bn |
| Jan 29, 2022 | 6.10 Bn |
| Oct 30, 2021 | 5.93 Bn |
Target Accumulated 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=accumulated-expenses&ticker=TGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();