BJ's Wholesale Club Holdings (BJ) Change in Inventory (2017 - 2026)
BJ's Wholesale Club Holdings (BJ) reported Change in Inventory of -$51.23 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), compared with -$46.35 million a year earlier.
BJ's Wholesale Club Holdings (BJ) Change in Inventory (2017 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, BJ's Wholesale Club Holdings' Change in Inventory came in at $96.35 million; for FY2026 (ended Jan 31, 2026), it was $46.48 million, down 14.2% from FY2025.
- Change in Inventory has a five-year compound annual growth rate of -17.8% (FY2021 to FY2026).
- By fiscal year, Change in Inventory came in at $54.17 million in FY2025 (-29.0%), $76.27 million in FY2024 (+60.4%), $47.54 million in FY2023 (+27.7%) and $37.24 million in FY2022 (-70.0%).
- Five-year quarterly Change in Inventory spans a low of -$211.02 million in fiscal Q4 2025 and a high of $222.1 million in fiscal Q3 2022.
- Year over year, Change in Inventory gained in two of the last four quarters, with growth averaging 27.8%.
- The high point for year-over-year Change in Inventory in five years was fiscal Q1 2027 (growth of 94.3%); the low point was fiscal Q1 2025 (a decline of 48.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $112.79 million (Q1 2027), -$138.33 million (Q4 2026) and $173.12 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | -1.17 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 457.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 60.00 Mn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | - |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | -59.19 Mn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 577,000.00 |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | -16.10 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 26.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | -69.86 Mn |
| 10 | BJ's Wholesale Club Holdings | 11.63 Bn | 11.49 Bn | 1.11 Bn | -51.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -51.23 Mn |
| May 2, 2026 | 112.79 Mn |
| Jan 31, 2026 | -138.33 Mn |
| Nov 1, 2025 | 173.12 Mn |
| Aug 2, 2025 | -46.35 Mn |
| May 3, 2025 | 58.04 Mn |
| Feb 1, 2025 | -211.02 Mn |
| Nov 2, 2024 | 173.80 Mn |
| Aug 3, 2024 | 12.90 Mn |
| May 4, 2024 | 78.49 Mn |
| Feb 3, 2024 | -207.03 Mn |
| Oct 28, 2023 | 121.34 Mn |
| Jul 29, 2023 | 8.50 Mn |
| Apr 29, 2023 | 153.46 Mn |
| Jan 28, 2023 | -125.82 Mn |
| Oct 29, 2022 | 127.84 Mn |
| Jul 30, 2022 | -173.64 Mn |
| Apr 30, 2022 | 219.16 Mn |
| Jan 29, 2022 | -12.72 Mn |
| Oct 30, 2021 | 222.10 Mn |
BJ's Wholesale Club Holdings 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=BJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "BJ", "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=BJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();