BJ's Wholesale Club Holdings (BJ) Operating Expenses (2017 - 2026)
BJ's Wholesale Club Holdings (BJ) recorded Operating Expenses of $851.21 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), up 8.2% from $786.36 million a year earlier and up 5.6% from the prior quarter.
BJ's Wholesale Club Holdings (BJ) Operating Expenses (2017 - 2026) Analysis & Trends
On a TTM basis, BJ's Wholesale Club Holdings' Operating Expenses came in at $3.26 billion as of Aug 1, 2026, up 7.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $3.15 billion, up 6.4% from FY2025.
- Annual Operating Expenses has increased for nine straight fiscal years, with a five-year compound annual growth rate of 6.3% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $2.96 billion in FY2025 (+5.0%), $2.82 billion in FY2024 (+5.8%), $2.67 billion in FY2023 (+9.1%) and $2.45 billion in FY2022 (+5.1%).
- The fiscal Q2 2027 figure is the highest quarterly Operating Expenses in data going back to fiscal Q2 2018.
- On a year-over-year basis, Operating Expenses has increased for 28 consecutive quarters, with growth averaging 5.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 2.3% (fiscal Q4 2025) to 12.1% (fiscal Q4 2023).
- Per Business Quant, the preceding three fiscal quarters came in at $806.01 million (Q1 2027), $818.19 million (Q4 2026) and $788.15 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 39.75 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 6.19 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 3.15 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 198.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 2.91 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 754.11 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 1.43 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 1.48 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 1.02 Bn |
| 10 | BJ's Wholesale Club Holdings | 11.63 Bn | 11.49 Bn | 1.11 Bn | 851.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 851.21 Mn |
| May 2, 2026 | 806.01 Mn |
| Jan 31, 2026 | 818.19 Mn |
| Nov 1, 2025 | 788.15 Mn |
| Aug 2, 2025 | 786.36 Mn |
| May 3, 2025 | 760.88 Mn |
| Feb 1, 2025 | 758.21 Mn |
| Nov 2, 2024 | 733.58 Mn |
| Aug 3, 2024 | 750.32 Mn |
| May 4, 2024 | 721.77 Mn |
| Feb 3, 2024 | 741.12 Mn |
| Oct 28, 2023 | 697.10 Mn |
| Jul 29, 2023 | 694.96 Mn |
| Apr 29, 2023 | 689.33 Mn |
| Jan 28, 2023 | 706.96 Mn |
| Oct 29, 2022 | 674.43 Mn |
| Jul 30, 2022 | 651.24 Mn |
| Apr 30, 2022 | 635.38 Mn |
| Jan 29, 2022 | 630.45 Mn |
| Oct 30, 2021 | 617.99 Mn |
BJ's Wholesale Club Holdings Operating 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=operating-expenses&ticker=BJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=BJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();