BJ's Wholesale Club Holdings (BJ) Other Operating Expenses (2017 - 2026)
BJ's Wholesale Club Holdings' Other Operating Expenses came in at $6.44 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 95.8% from $3.29 million a year earlier but down 54.0% from the prior quarter.
BJ's Wholesale Club Holdings (BJ) Other Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, BJ's Wholesale Club Holdings reported Other Operating Expenses of $41.59 million, up 25.4% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $29.44 million, up 3.9% from FY2025.
- Other Operating Expenses carries a five-year compound annual growth rate of 24.6% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was $28.34 million in FY2025 (+44.4%), $19.63 million in FY2024 (-21.3%), $24.93 million in FY2023 (+67.3%) and $14.9 million in FY2022 (+51.9%).
- The five-year range for quarterly Other Operating Expenses is $864,000 (fiscal Q1 2025) to $13.98 million (fiscal Q1 2027).
- Year-over-year, Other Operating Expenses has increased for three consecutive quarters, with growth averaging 113.9% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q1 2023 (growth of 773.4%), and the weakest in fiscal Q1 2025 (a decline of 77.8%).
- Business Quant data shows BJ's Other Operating Expenses at $13.98 million (Q1 2027), $13.35 million (Q4 2026) and $7.84 million (Q3 2026) in the three fiscal quarters before Q2 2027.
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
| Date | Value |
|---|---|
| Aug 1, 2026 | 6.44 Mn |
| May 2, 2026 | 13.98 Mn |
| Jan 31, 2026 | 13.35 Mn |
| Nov 1, 2025 | 7.84 Mn |
| Aug 2, 2025 | 3.29 Mn |
| May 3, 2025 | 4.97 Mn |
| Feb 1, 2025 | 12.38 Mn |
| Nov 2, 2024 | 12.51 Mn |
| Aug 3, 2024 | 2.58 Mn |
| May 4, 2024 | 864,000.00 |
| Feb 3, 2024 | 8.15 Mn |
| Oct 28, 2023 | 6.00 Mn |
| Jul 29, 2023 | 1.58 Mn |
| Apr 29, 2023 | 3.89 Mn |
| Jan 28, 2023 | 3.43 Mn |
| Oct 29, 2022 | 10.71 Mn |
| Jul 30, 2022 | 5.90 Mn |
| Apr 30, 2022 | 4.90 Mn |
| Jan 29, 2022 | 9.64 Mn |
| Oct 30, 2021 | 3.07 Mn |
BJ's Wholesale Club Holdings Other 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=other-operating-expenses&ticker=BJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=BJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();