Best Buy (BBY) Tax Provisions (2009 - 2026)
Best Buy (BBY) posted Tax Provisions of $116 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 70.6% from $68 million a year earlier and up 13.7% from the prior quarter.
Best Buy (BBY) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Tax Provisions at Best Buy was $468 million, up 68.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $337 million, down 9.4% from FY2025.
- Annual Tax Provisions shows a five-year compound annual growth rate of -10.3% (FY2021 to FY2026).
- In prior fiscal years, Best Buy's Tax Provisions was $372 million in FY2025 (-2.4%), $381 million in FY2024 (+3.0%), $370 million in FY2023 (-35.5%) and $574 million in FY2022 (-0.9%).
- Quarterly Tax Provisions has run from a low of $19 million in fiscal Q1 2026 to a high of $186 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Tax Provisions has increased in each of the last three quarters, with growth averaging 54.2% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q1 2027, with growth of 436.8%; the weakest was fiscal Q1 2026, with a decline of 76.3%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $102 million (Q1 2027), $186 million (Q4 2026) and $64 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 283.46 Mn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 209.01 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 66.00 Mn |
| 10 | Best Buy | 19.91 Bn | 13.24 Bn | 2.34 Bn | 116.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 116.00 Mn |
| May 2, 2026 | 102.00 Mn |
| Jan 31, 2026 | 186.00 Mn |
| Nov 1, 2025 | 64.00 Mn |
| Aug 2, 2025 | 68.00 Mn |
| May 3, 2025 | 19.00 Mn |
| Feb 1, 2025 | 106.00 Mn |
| Nov 2, 2024 | 85.00 Mn |
| Aug 3, 2024 | 101.00 Mn |
| May 4, 2024 | 80.00 Mn |
| Feb 3, 2024 | 124.00 Mn |
| Oct 28, 2023 | 86.00 Mn |
| Jul 29, 2023 | 96.00 Mn |
| Apr 29, 2023 | 75.00 Mn |
| Jan 28, 2023 | 118.00 Mn |
| Oct 29, 2022 | 84.00 Mn |
| Jul 30, 2022 | 58.00 Mn |
| Apr 30, 2022 | 110.00 Mn |
| Jan 29, 2022 | 172.00 Mn |
| Oct 30, 2021 | 166.00 Mn |
Best Buy Tax Provisions 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=tax-provisions&ticker=BBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "BBY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=BBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();