Expeditors International Of Washington (EXPD) Operating Expenses (2009 - 2026)
Expeditors International Of Washington (EXPD) recorded Operating Expenses of $3.15 billion in Q2 2026, up 31.1% from $2.4 billion a year earlier and up 26.7% from the prior quarter.
Expeditors International Of Washington (EXPD) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Expeditors International Of Washington's Operating Expenses came in at $10.85 billion as of Jun 30, 2026, up 6.8% year-over-year; for FY2025, it came in at $10.02 billion, up 4.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $9.56 billion in FY2024 (+14.3%), $8.36 billion in FY2023 (-45.2%), $15.25 billion in FY2022 (+4.3%) and $14.61 billion in FY2021 (+69.1%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q3 2022.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 15.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 82.6% in Q3 2021, against a decline of 51.4% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.49 billion (Q1 2026), $2.61 billion (Q4 2025) and $2.61 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 4.10 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 16.58 Bn |
| 10 | Expeditors International Of Washington | 25.96 Bn | 21.11 Bn | 1.09 Bn | 3.15 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.15 Bn |
| Mar 31, 2026 | 2.49 Bn |
| Dec 31, 2025 | 2.61 Bn |
| Sep 30, 2025 | 2.61 Bn |
| Jun 30, 2025 | 2.40 Bn |
| Mar 31, 2025 | 2.40 Bn |
| Dec 31, 2024 | 2.65 Bn |
| Sep 30, 2024 | 2.70 Bn |
| Jun 30, 2024 | 2.22 Bn |
| Mar 31, 2024 | 1.99 Bn |
| Dec 31, 2023 | 2.08 Bn |
| Sep 30, 2023 | 1.97 Bn |
| Jun 30, 2023 | 1.99 Bn |
| Mar 31, 2023 | 2.32 Bn |
| Dec 31, 2022 | 3.11 Bn |
| Sep 30, 2022 | 3.84 Bn |
| Jun 30, 2022 | 4.10 Bn |
| Mar 31, 2022 | 4.20 Bn |
| Dec 31, 2021 | 4.77 Bn |
| Sep 30, 2021 | 3.83 Bn |
Expeditors International Of Washington Operating Expenses 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=operating-expenses&ticker=EXPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EXPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();