Costco Wholesale (COST) EBITDA (2009 - 2026)
Costco Wholesale (COST) reported EBITDA of $3.41 billion for fiscal Q3 2026 (quarter ended May 10, 2026), up 10.7% from $3.08 billion a year earlier and up 6.5% from the prior quarter.
Costco Wholesale (COST) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended May 10, 2026, Costco Wholesale's EBITDA came in at $13.79 billion, up 10.8% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $12.81 billion, up 11.2% from FY2024.
- EBITDA has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 12.6% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $11.52 billion in FY2024 (+13.1%), $10.19 billion in FY2023 (+5.1%), $9.69 billion in FY2022 (+14.2%) and $8.49 billion in FY2021 (+19.9%).
- Five-year quarterly EBITDA spans a low of $2.13 billion in fiscal Q1 2022 and a high of $4.12 billion in fiscal Q4 2025.
- Year over year, EBITDA has now increased in each of the last 12 quarters, with growth averaging 10.9% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q2 2022 (growth of 28.0%); the low point was fiscal Q3 2023 (a decline of 3.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $3.2 billion (Q2 2026), $3.06 billion (Q1 2026) and $4.12 billion (Q4 2025).
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 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 537.40 Mn |
Historic Data
| Date | Value |
|---|---|
| May 10, 2026 | 3.41 Bn |
| Feb 15, 2026 | 3.20 Bn |
| Nov 23, 2025 | 3.06 Bn |
| Aug 31, 2025 | 4.12 Bn |
| May 11, 2025 | 3.08 Bn |
| Feb 16, 2025 | 2.87 Bn |
| Nov 24, 2024 | 2.74 Bn |
| Sep 1, 2024 | 3.75 Bn |
| May 12, 2024 | 2.71 Bn |
| Feb 18, 2024 | 2.58 Bn |
| Nov 26, 2023 | 2.49 Bn |
| Sep 3, 2023 | 3.47 Bn |
| May 7, 2023 | 2.15 Bn |
| Feb 12, 2023 | 2.37 Bn |
| Nov 20, 2022 | 2.20 Bn |
| Aug 28, 2022 | 3.10 Bn |
| May 8, 2022 | 2.22 Bn |
| Feb 13, 2022 | 2.25 Bn |
| Nov 21, 2021 | 2.13 Bn |
| Aug 29, 2021 | 2.83 Bn |
Costco Wholesale 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=COST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=COST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();