Expeditors International Of Washington (EXPD) Accumulated Expenses (2009 - 2026)
Expeditors International Of Washington (EXPD) reported Accumulated Expenses of $607.66 million for Q2 2026, up 29.7% from $468.43 million a year earlier and up 22.4% from the prior quarter.
Powered by 
Analysis
Expeditors International Of Washington (EXPD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Expeditors International Of Washington posted Accumulated Expenses of $448.06 million, down 0.9% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 11.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $451.92 million in FY2024 (+1.0%), $447.34 million in FY2023 (-6.7%), $479.26 million in FY2022 (+18.7%) and $403.63 million in FY2021 (+57.0%).
- The Q2 2026 figure ranks as the highest quarterly Accumulated Expenses since Q1 2022.
- Year over year, Accumulated Expenses gained in five of the last eight quarters, with growth averaging 5.3%.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2022 (growth of 95.0%); the low point was Q1 2023 (a decline of 28.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $496.37 million (Q1 2026), $448.06 million (Q4 2025) and $427.22 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 607.66 Mn |
| Mar 31, 2026 | 496.37 Mn |
| Dec 31, 2025 | 448.06 Mn |
| Sep 30, 2025 | 427.22 Mn |
| Jun 30, 2025 | 468.43 Mn |
| Mar 31, 2025 | 440.65 Mn |
| Dec 31, 2024 | 451.92 Mn |
| Sep 30, 2024 | 470.72 Mn |
| Jun 30, 2024 | 486.99 Mn |
| Mar 31, 2024 | 433.60 Mn |
| Dec 31, 2023 | 447.34 Mn |
| Sep 30, 2023 | 423.69 Mn |
| Jun 30, 2023 | 422.13 Mn |
| Mar 31, 2023 | 432.82 Mn |
| Dec 31, 2022 | 479.26 Mn |
| Sep 30, 2022 | 404.21 Mn |
| Jun 30, 2022 | 473.64 Mn |
| Mar 31, 2022 | 607.88 Mn |
| Dec 31, 2021 | 403.63 Mn |
| Sep 30, 2021 | 342.15 Mn |
API Access
Expeditors International Of Washington Accumulated 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=accumulated-expenses&ticker=EXPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EXPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();