Target (TGT) Operating Expenses (2009 - 2026)
Target (TGT) posted Operating Expenses of $5.73 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 6.8% from $5.36 billion a year earlier and up 2.9% from the prior quarter.
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Analysis
Target (TGT) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Operating Expenses at Target was $22.87 billion, up 6.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $24.64 billion, down 1.3% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- In prior fiscal years, Target's Operating Expenses was $24.97 billion in FY2025 (+2.9%), $24.26 billion in FY2024 (+4.2%), $23.28 billion in FY2023 (+4.2%) and $22.35 billion in FY2022 (+5.9%).
- Quarterly Operating Expenses has run from a low of $4.59 billion in fiscal Q1 2026 to a high of $6.05 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last four quarters, with growth averaging 2.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q1 2027, with growth of 21.2%; the weakest was fiscal Q1 2026, with a decline of 10.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $5.56 billion (Q1 2027), $6.05 billion (Q4 2026) and $5.54 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.60 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -1.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 5.73 Bn |
| May 2, 2026 | 5.56 Bn |
| Jan 31, 2026 | 6.05 Bn |
| Nov 1, 2025 | 5.54 Bn |
| Aug 2, 2025 | 5.36 Bn |
| May 3, 2025 | 4.59 Bn |
| Feb 1, 2025 | 6.00 Bn |
| Nov 2, 2024 | 5.46 Bn |
| Aug 3, 2024 | 5.37 Bn |
| May 4, 2024 | 5.15 Bn |
| Feb 3, 2024 | 5.94 Bn |
| Oct 28, 2023 | 5.32 Bn |
| Jul 29, 2023 | 5.18 Bn |
| Apr 29, 2023 | 5.03 Bn |
| Jan 28, 2023 | 5.60 Bn |
| Oct 29, 2022 | 5.22 Bn |
| Jul 30, 2022 | 5.00 Bn |
| Apr 30, 2022 | 4.76 Bn |
| Jan 29, 2022 | 5.54 Bn |
| Oct 30, 2021 | 4.86 Bn |
API Access
Target Operating 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=operating-expenses&ticker=TGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();