Best Buy (BBY) Cash & Equivalents (2009 - 2026)
Best Buy (BBY) posted Cash & Equivalents of $2.26 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 54.9% from $1.46 billion a year earlier and up 28.9% from the prior quarter.
Best Buy (BBY) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Best Buy's Cash & Equivalents came in at $1.74 billion, up 10.1% from FY2025.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -20.6% (FY2021 to FY2026).
- In prior fiscal years, Best Buy's Cash & Equivalents was $1.58 billion in FY2025 (+9.1%), $1.45 billion in FY2024 (-22.8%), $1.87 billion in FY2023 (-36.2%) and $2.94 billion in FY2022 (-46.6%).
- The fiscal Q2 2027 figure stands as the highest quarterly Cash & Equivalents since fiscal Q4 2022.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last five quarters, with growth averaging 21.3% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q1 2024, with growth of 60.9%; the weakest was fiscal Q1 2023, with a decline of 85.0%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $1.75 billion (Q1 2027), $1.74 billion (Q4 2026) and $923 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,674.18 Bn | 2,190.88 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 319.00 Bn | 312.24 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 159.67 Bn | 137.22 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 111.47 Bn | 104.43 Bn | 8.58 Bn | 3.17 Bn |
| 5 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 262.18 Mn |
| 6 | Ross Stores | 73.30 Bn | 56.23 Bn | 2.12 Bn | 4.29 Bn |
| 7 | Target | 69.39 Bn | 63.98 Bn | 8.94 Bn | - |
| 8 | Carvana | 63.54 Bn | 55.14 Bn | 1.38 Bn | 2.63 Bn |
| 9 | Autozone | 52.26 Bn | 51.16 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Best Buy | 21.01 Bn | 14.34 Bn | 2.34 Bn | 2.26 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 2.26 Bn |
| May 2, 2026 | 1.75 Bn |
| Jan 31, 2026 | 1.74 Bn |
| Nov 1, 2025 | 923.00 Mn |
| Aug 2, 2025 | 1.46 Bn |
| May 3, 2025 | 1.15 Bn |
| Feb 1, 2025 | 1.58 Bn |
| Nov 2, 2024 | 643.00 Mn |
| Aug 3, 2024 | 1.39 Bn |
| May 4, 2024 | 1.21 Bn |
| Feb 3, 2024 | 1.45 Bn |
| Oct 28, 2023 | 636.00 Mn |
| Jul 29, 2023 | 1.09 Bn |
| Apr 29, 2023 | 1.03 Bn |
| Jan 28, 2023 | 1.87 Bn |
| Oct 29, 2022 | 932.00 Mn |
| Jul 30, 2022 | 840.00 Mn |
| Apr 30, 2022 | 640.00 Mn |
| Jan 29, 2022 | 2.94 Bn |
| Oct 30, 2021 | 3.47 Bn |
Best Buy Cash & Equivalents 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=cash-and-equivalents&ticker=BBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();