BJ's Wholesale Club Holdings (BJ) Cash & Equivalents (2017 - 2026)
BJ's Wholesale Club Holdings (BJ) recorded Cash & Equivalents of $29.98 million in fiscal Q2 2027 (quarter ended Aug 1, 2026), down 36.6% from $47.27 million a year earlier but up 7.7% from the prior quarter.
BJ's Wholesale Club Holdings (BJ) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), BJ's Wholesale Club Holdings reported Cash & Equivalents of $46.25 million, up 63.6% from FY2025.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $28.27 million in FY2025 (-21.6%), $36.05 million in FY2024 (+6.3%), $33.92 million in FY2023 (-25.4%) and $45.44 million in FY2022 (+4.4%).
- Quarterly Cash & Equivalents has ranged from $23.39 million in fiscal Q1 2024 to $163.68 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in five of the last eight quarters, with growth averaging 5.8%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 285.9% in fiscal Q2 2023, against a decline of 84.0% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $27.83 million (Q1 2027), $46.25 million (Q4 2026) and $45.12 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 827.17 Bn | 789.87 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 405.79 Bn | 335.09 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.26 Bn | 31.51 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 35.13 Bn | 21.29 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.23 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.90 Bn | 20.89 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.48 Bn | 18.10 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.32 Bn | 20.12 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.56 Bn | 15.72 Bn | 1.68 Bn | 231.59 Mn |
| 10 | BJ's Wholesale Club Holdings | 11.93 Bn | 11.78 Bn | 1.11 Bn | 29.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 29.98 Mn |
| May 2, 2026 | 27.83 Mn |
| Jan 31, 2026 | 46.25 Mn |
| Nov 1, 2025 | 45.12 Mn |
| Aug 2, 2025 | 47.27 Mn |
| May 3, 2025 | 39.48 Mn |
| Feb 1, 2025 | 28.27 Mn |
| Nov 2, 2024 | 33.87 Mn |
| Aug 3, 2024 | 38.06 Mn |
| May 4, 2024 | 35.09 Mn |
| Feb 3, 2024 | 36.05 Mn |
| Oct 28, 2023 | 33.55 Mn |
| Jul 29, 2023 | 26.21 Mn |
| Apr 29, 2023 | 23.39 Mn |
| Jan 28, 2023 | 33.92 Mn |
| Oct 29, 2022 | 34.64 Mn |
| Jul 30, 2022 | 163.68 Mn |
| Apr 30, 2022 | 37.95 Mn |
| Jan 29, 2022 | 45.44 Mn |
| Oct 30, 2021 | 84.69 Mn |
BJ's Wholesale Club Holdings Cash & Equivalents 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=cash-and-equivalents&ticker=BJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();