Costco Wholesale (COST) Cash & Equivalents (2009 - 2026)
Costco Wholesale (COST) reported Cash & Equivalents of $18.95 billion for fiscal Q3 2026 (quarter ended May 10, 2026), up 36.9% from $13.84 billion a year earlier and up 9.0% from the prior quarter.
Costco Wholesale (COST) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Costco Wholesale posted Cash & Equivalents of $14.16 billion, up 43.0% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By fiscal year, Cash & Equivalents came in at $9.91 billion in FY2024 (-27.7%), $13.7 billion in FY2023 (+34.3%), $10.2 billion in FY2022 (-9.4%) and $11.26 billion in FY2021 (-8.3%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Cash & Equivalents in data going back to fiscal Q2 2009.
- Year over year, Cash & Equivalents has now increased in each of the last six quarters, with growth averaging 21.8% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q1 2024 (growth of 56.7%); the low point was fiscal Q1 2025 (a decline of 35.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $17.38 billion (Q2 2026), $16.22 billion (Q1 2026) and $14.16 billion (Q4 2025).
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 | 408.32 Bn | 337.62 Bn | 9.01 Bn | 18.95 Bn |
| 3 | Sysco | 37.11 Bn | 31.36 Bn | 4.13 Bn | 1.79 Bn |
| 4 | Kroger | 34.86 Bn | 21.01 Bn | 7.86 Bn | 1.68 Bn |
| 5 | Dollar General | 26.24 Bn | 20.91 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 22.83 Bn | 20.83 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 21.05 Bn | 17.67 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 20.97 Bn | 20.76 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 16.22 Bn | 15.39 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Performance Food | 14.65 Bn | 14.43 Bn | 2.17 Bn | 92.40 Mn |
Historic Data
| Date | Value |
|---|---|
| May 10, 2026 | 18.95 Bn |
| Feb 15, 2026 | 17.38 Bn |
| Nov 23, 2025 | 16.22 Bn |
| Aug 31, 2025 | 14.16 Bn |
| May 11, 2025 | 13.84 Bn |
| Feb 16, 2025 | 12.36 Bn |
| Nov 24, 2024 | 10.91 Bn |
| Sep 1, 2024 | 9.91 Bn |
| May 12, 2024 | 10.40 Bn |
| Feb 18, 2024 | 9.10 Bn |
| Nov 26, 2023 | 17.01 Bn |
| Sep 3, 2023 | 13.70 Bn |
| May 7, 2023 | 12.49 Bn |
| Feb 12, 2023 | 12.97 Bn |
| Nov 20, 2022 | 10.86 Bn |
| Aug 28, 2022 | 10.20 Bn |
| May 8, 2022 | 11.19 Bn |
| Feb 13, 2022 | 11.82 Bn |
| Nov 21, 2021 | 12.75 Bn |
| Aug 29, 2021 | 11.26 Bn |
Costco Wholesale 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=COST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "COST", "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=COST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();