BJ's Wholesale Club Holdings (BJ) Revenue (2017 - 2026)
BJ's Wholesale Club Holdings' Revenue came in at $6.23 billion for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 15.7% from $5.38 billion a year earlier and up 10.0% from the prior quarter.
BJ's Wholesale Club Holdings (BJ) Revenue (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, BJ's Wholesale Club Holdings reported Revenue of $22.81 billion, up 9.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $21.46 billion, up 4.7% from FY2025.
- Revenue has increased in each of the last nine fiscal years, with a five-year compound annual growth rate of 6.8% (FY2021 to FY2026).
- Going back by fiscal year, Revenue was $20.5 billion in FY2025 (+2.7%), $19.97 billion in FY2024 (+3.4%), $19.32 billion in FY2023 (+15.9%) and $16.67 billion in FY2022 (+8.0%).
- The fiscal Q2 2027 figure represents the highest quarterly Revenue in data going back to fiscal Q2 2018.
- Year-over-year, Revenue has increased for six consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in fiscal Q2 2023 (growth of 22.2%), and the weakest in fiscal Q2 2024 (a decline of 2.7%).
- Business Quant data shows BJ's Revenue at $5.66 billion (Q1 2027), $5.58 billion (Q4 2026) and $5.35 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 187.94 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 70.53 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 22.12 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 34.62 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 11.29 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 5.68 Bn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 4.89 Bn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 10.53 Bn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 4.54 Bn |
| 10 | BJ's Wholesale Club Holdings | 11.63 Bn | 11.49 Bn | 1.11 Bn | 6.23 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 6.23 Bn |
| May 2, 2026 | 5.66 Bn |
| Jan 31, 2026 | 5.58 Bn |
| Nov 1, 2025 | 5.35 Bn |
| Aug 2, 2025 | 5.38 Bn |
| May 3, 2025 | 5.15 Bn |
| Feb 1, 2025 | 5.28 Bn |
| Nov 2, 2024 | 5.10 Bn |
| Aug 3, 2024 | 5.21 Bn |
| May 4, 2024 | 4.92 Bn |
| Feb 3, 2024 | 5.36 Bn |
| Oct 28, 2023 | 4.92 Bn |
| Jul 29, 2023 | 4.96 Bn |
| Apr 29, 2023 | 4.72 Bn |
| Jan 28, 2023 | 4.93 Bn |
| Oct 29, 2022 | 4.79 Bn |
| Jul 30, 2022 | 5.10 Bn |
| Apr 30, 2022 | 4.50 Bn |
| Jan 29, 2022 | 4.36 Bn |
| Oct 30, 2021 | 4.26 Bn |
BJ's Wholesale Club Holdings Revenue 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=revenue&ticker=BJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();