BJ's Wholesale Club Holdings (BJ) EBITDA (2017 - 2026)
BJ's Wholesale Club Holdings (BJ) reported EBITDA of $331.24 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 14.8% from $288.46 million a year earlier and up 16.5% from the prior quarter.
BJ's Wholesale Club Holdings (BJ) EBITDA (2017 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, BJ's Wholesale Club Holdings' EBITDA came in at $1.16 billion, up 5.1% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.11 billion, up 6.9% from FY2025.
- EBITDA has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 6.4% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $1.03 billion in FY2025 (+0.6%), $1.03 billion in FY2024 (+9.5%), $938.92 million in FY2023 (+17.7%) and $797.87 million in FY2022 (-1.5%).
- The fiscal Q2 2027 figure ranks as the highest quarterly EBITDA in data going back to fiscal Q3 2018.
- Year over year, EBITDA has now increased in each of the last three quarters, with growth averaging 6.7% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2024 (growth of 22.1%); the low point was fiscal Q4 2025 (a decline of 10.6%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $284.37 million (Q1 2027), $252.76 million (Q4 2026) and $290.67 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 13.31 Bn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 3.41 Bn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | 1.24 Bn |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 1.71 Bn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | 1.05 Bn |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 601.08 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | 869.90 Mn |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 561.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 597.96 Mn |
| 10 | BJ's Wholesale Club Holdings | 11.63 Bn | 11.49 Bn | 1.11 Bn | 331.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 331.24 Mn |
| May 2, 2026 | 284.37 Mn |
| Jan 31, 2026 | 252.76 Mn |
| Nov 1, 2025 | 290.67 Mn |
| Aug 2, 2025 | 288.46 Mn |
| May 3, 2025 | 273.31 Mn |
| Feb 1, 2025 | 246.22 Mn |
| Nov 2, 2024 | 295.06 Mn |
| Aug 3, 2024 | 268.81 Mn |
| May 4, 2024 | 224.18 Mn |
| Feb 3, 2024 | 275.28 Mn |
| Oct 28, 2023 | 256.78 Mn |
| Jul 29, 2023 | 255.09 Mn |
| Apr 29, 2023 | 240.96 Mn |
| Jan 28, 2023 | 244.47 Mn |
| Oct 29, 2022 | 244.13 Mn |
| Jul 30, 2022 | 252.89 Mn |
| Apr 30, 2022 | 197.43 Mn |
| Jan 29, 2022 | 202.01 Mn |
| Oct 30, 2021 | 215.99 Mn |
BJ's Wholesale Club Holdings EBITDA 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=ebitda&ticker=BJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();