Best Buy (BBY) Change in Inventory (2009 - 2026)
Best Buy (BBY) reported Change in Inventory of $712 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 14.5% from $622 million a year earlier and up 94.0% from the prior quarter.
Best Buy (BBY) Change in Inventory (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Best Buy's Change in Inventory came in at $488 million, up 339.6% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $126 million, down 18.7% from FY2025.
- Change in Inventory has a five-year compound annual growth rate of -21.9% (FY2021 to FY2026).
- By fiscal year, Change in Inventory came in at $155 million in FY2025, -$178 million in FY2024, -$809 million in FY2023 and $328 million in FY2022 (-24.6%).
- Five-year quarterly Change in Inventory spans a low of -$2.78 billion in fiscal Q4 2026 and a high of $2.19 billion in fiscal Q3 2026.
- Year over year, Change in Inventory gained in five of the last six quarters, with growth averaging 45.9%.
- The high point for year-over-year Change in Inventory in five years was fiscal Q1 2027 (growth of 286.3%); the low point was fiscal Q1 2024 (a decline of 71.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $367 million (Q1 2027), -$2.78 billion (Q4 2026) and $2.19 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 1.82 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | -604.00 Mn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 221.00 Mn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | -709.00 Mn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 110.41 Mn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 160.24 Mn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 932.00 Mn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 104.14 Mn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 586.00 Mn |
| 10 | Best Buy | 19.91 Bn | 13.24 Bn | 2.34 Bn | 712.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 712.00 Mn |
| May 2, 2026 | 367.00 Mn |
| Jan 31, 2026 | -2.78 Bn |
| Nov 1, 2025 | 2.19 Bn |
| Aug 2, 2025 | 622.00 Mn |
| May 3, 2025 | 95.00 Mn |
| Feb 1, 2025 | -2.71 Bn |
| Nov 2, 2024 | 2.11 Bn |
| Aug 3, 2024 | 488.00 Mn |
| May 4, 2024 | 273.00 Mn |
| Feb 3, 2024 | -2.62 Bn |
| Oct 28, 2023 | 1.94 Bn |
| Jul 29, 2023 | 422.00 Mn |
| Apr 29, 2023 | 86.00 Mn |
| Jan 28, 2023 | -2.17 Bn |
| Oct 29, 2022 | 1.29 Bn |
| Jul 30, 2022 | -218.00 Mn |
| Apr 30, 2022 | 297.00 Mn |
| Jan 29, 2022 | -2.60 Bn |
| Oct 30, 2021 | 2.13 Bn |
Best Buy Change in Inventory 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-inventory&ticker=BBY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=BBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();