BJ's Wholesale Club Holdings (BJ) Accumulated Expenses (2017 - 2026)
BJ's Wholesale Club Holdings' Accumulated Expenses came in at $1.13 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 26.4% from $891.51 million a year earlier and up 7.4% from the prior quarter.
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Analysis
BJ's Wholesale Club Holdings (BJ) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), BJ's Wholesale Club Holdings' Accumulated Expenses was $1.03 billion, up 13.2% from FY2025.
- Accumulated Expenses has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 9.7% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $913.04 million in FY2025 (+12.4%), $812.14 million in FY2024 (+5.8%), $767.41 million in FY2023 (+2.6%) and $748.25 million in FY2022 (+14.8%).
- The fiscal Q2 2027 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q2 2018.
- Year-over-year, Accumulated Expenses has increased for 33 consecutive quarters, with growth averaging 12.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Accumulated Expenses ran from 2.6% in fiscal Q4 2023 to 26.4% in fiscal Q2 2027.
- Business Quant data shows BJ's Accumulated Expenses at $1.05 billion (Q1 2027), $1.03 billion (Q4 2026) and $945.73 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn |
| 10 | BJ's Wholesale Club Holdings | 11.63 Bn | 11.49 Bn | 1.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 1.13 Bn |
| May 2, 2026 | 1.05 Bn |
| Jan 31, 2026 | 1.03 Bn |
| Nov 1, 2025 | 945.73 Mn |
| Aug 2, 2025 | 891.51 Mn |
| May 3, 2025 | 934.97 Mn |
| Feb 1, 2025 | 913.04 Mn |
| Nov 2, 2024 | 913.31 Mn |
| Aug 3, 2024 | 858.24 Mn |
| May 4, 2024 | 834.05 Mn |
| Feb 3, 2024 | 812.14 Mn |
| Oct 28, 2023 | 805.61 Mn |
| Jul 29, 2023 | 774.24 Mn |
| Apr 29, 2023 | 758.72 Mn |
| Jan 28, 2023 | 767.41 Mn |
| Oct 29, 2022 | 764.57 Mn |
| Jul 30, 2022 | 719.29 Mn |
| Apr 30, 2022 | 692.53 Mn |
| Jan 29, 2022 | 748.25 Mn |
| Oct 30, 2021 | 731.30 Mn |
API Access
BJ's Wholesale Club Holdings Accumulated 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=accumulated-expenses&ticker=BJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();