Expeditors International Of Washington (EXPD) Other Operating Expenses (2009 - 2026)
Expeditors International Of Washington (EXPD) reported Other Operating Expenses of $71.16 million for Q2 2026, down 20.9% from $89.94 million a year earlier and down 16.0% from the prior quarter.
Expeditors International Of Washington (EXPD) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Expeditors International Of Washington's Other Operating Expenses came in at $325.2 million, up 3.6% year-over-year; for FY2025, it was $337.69 million, up 23.1% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 10.6% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $274.39 million in FY2024 (-1.2%), $277.63 million in FY2023 (-13.9%), $322.47 million in FY2022 (+34.3%) and $240.06 million in FY2021 (+17.7%).
- The Q2 2026 figure ranks as the lowest quarterly Other Operating Expenses since Q3 2024.
- Year over year, Other Operating Expenses gained in six of the last eight quarters, with growth averaging 10.4%.
- The high point for year-over-year Other Operating Expenses in five years was Q1 2022 (growth of 51.3%); the low point was Q4 2023 (a decline of 32.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $84.71 million (Q1 2026), $84.92 million (Q4 2025) and $84.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 71.16 Mn |
| Mar 31, 2026 | 84.71 Mn |
| Dec 31, 2025 | 84.92 Mn |
| Sep 30, 2025 | 84.40 Mn |
| Jun 30, 2025 | 89.94 Mn |
| Mar 31, 2025 | 78.43 Mn |
| Dec 31, 2024 | 75.50 Mn |
| Sep 30, 2024 | 69.95 Mn |
| Jun 30, 2024 | 66.67 Mn |
| Mar 31, 2024 | 62.27 Mn |
| Dec 31, 2023 | 66.58 Mn |
| Sep 30, 2023 | 79.17 Mn |
| Jun 30, 2023 | 63.49 Mn |
| Mar 31, 2023 | 68.39 Mn |
| Dec 31, 2022 | 99.04 Mn |
| Sep 30, 2022 | 67.47 Mn |
| Jun 30, 2022 | 76.42 Mn |
| Mar 31, 2022 | 79.54 Mn |
| Dec 31, 2021 | 69.26 Mn |
| Sep 30, 2021 | 60.80 Mn |
Expeditors International Of Washington Other 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=other-operating-expenses&ticker=EXPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=EXPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();