Expeditors International Of Washington (EXPD) Cost of Revenue (2017 - 2026)
Expeditors International Of Washington's Cost of Revenue was $2.42 billion in Q2 2026, up 37.8% from $1.75 billion a year earlier and up 33.4% from the prior quarter.
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Analysis
Expeditors International Of Washington (EXPD) Cost of Revenue (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Expeditors International Of Washington's Cost of Revenue was $8.1 billion through Jun 30, 2026, up 6.0% year-over-year; for FY2025, it was $7.4 billion, up 3.0% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $7.19 billion in FY2024 (+18.7%), $6.05 billion in FY2023 (-51.9%), $12.58 billion in FY2022 (+4.3%) and $12.06 billion in FY2021 (+81.1%).
- The Q2 2026 figure marks the highest quarterly Cost of Revenue since Q4 2022.
- Compared with a year earlier, Cost of Revenue was higher in six of the last eight quarters, with growth averaging 17.7%.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2021 (growth of 97.3%); the worst was Q2 2023 (a decline of 58.8%).
- Per Business Quant data, EXPD's Cost of Revenue in the three quarters before Q2 2026 was $1.81 billion (Q1 2026), $1.93 billion (Q4 2025) and $1.94 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.50 Bn | 165.03 Bn | - | - |
| 2 | Csx | 88.86 Bn | 85.07 Bn | - | - |
| 3 | United Parcel Service | 82.91 Bn | 59.81 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 76.79 Bn | 75.81 Bn | - | - |
| 5 | Norfolk Southern | 72.78 Bn | 67.42 Bn | - | - |
| 6 | Fedex | 69.54 Bn | 35.48 Bn | - | - |
| 7 | Delta Air Lines | 48.82 Bn | 31.01 Bn | - | - |
| 8 | Old Dominion Freight Line | 38.83 Bn | 38.10 Bn | - | - |
| 9 | United Airlines Holdings | 31.02 Bn | -25.36 Bn | - | - |
| 10 | Expeditors International Of Washington | 25.80 Bn | 20.95 Bn | 1.09 Bn | 2.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.42 Bn |
| Mar 31, 2026 | 1.81 Bn |
| Dec 31, 2025 | 1.93 Bn |
| Sep 30, 2025 | 1.94 Bn |
| Jun 30, 2025 | 1.75 Bn |
| Mar 31, 2025 | 1.78 Bn |
| Dec 31, 2024 | 2.02 Bn |
| Sep 30, 2024 | 2.09 Bn |
| Jun 30, 2024 | 1.64 Bn |
| Mar 31, 2024 | 1.43 Bn |
| Dec 31, 2023 | 1.51 Bn |
| Sep 30, 2023 | 1.40 Bn |
| Jun 30, 2023 | 1.42 Bn |
| Mar 31, 2023 | 1.72 Bn |
| Dec 31, 2022 | 2.43 Bn |
| Sep 30, 2022 | 3.19 Bn |
| Jun 30, 2022 | 3.44 Bn |
| Mar 31, 2022 | 3.52 Bn |
| Dec 31, 2021 | 4.03 Bn |
| Sep 30, 2021 | 3.19 Bn |
API Access
Expeditors International Of Washington Cost of 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=cost-of-revenue&ticker=EXPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "EXPD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=EXPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();