Expeditors International Of Washington (EXPD) Change in Taxes (2009 - 2026)
Expeditors International Of Washington (EXPD) posted Change in Taxes of -$1.12 million for Q2 2026, compared with -$44.67 million a year earlier.
Expeditors International Of Washington (EXPD) Change in Taxes (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Taxes at Expeditors International Of Washington was $78.89 million, up 310.3% year-over-year; for FY2025, it came in at $27.1 million, up 2.7% from FY2024.
- Annual Change in Taxes shows a five-year compound annual growth rate of 26.1% (FY2020 to FY2025).
- In prior years, Expeditors International Of Washington's Change in Taxes was $26.39 million in FY2024, -$77.3 million in FY2023, -$55.13 million in FY2022 and $57.87 million in FY2021 (+580.6%).
- Quarterly Change in Taxes has run from a low of -$93.82 million in Q2 2023 to a high of $46.26 million in Q1 2022 over five years.
- On a year-over-year basis, Change in Taxes increased in four of the last five quarters, with growth averaging 16.3%.
- The strongest year-over-year quarter for Change in Taxes in the past five years was Q4 2025, with growth of 48.9%; the weakest was Q1 2023, with a decline of 99.8%.
- According to Business Quant data, Change in Taxes for the three prior quarters was $38.58 million (Q1 2026), $19.69 million (Q4 2025) and $21.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.44 Bn | 167.97 Bn | - | 402.00 Mn |
| 2 | Csx | 95.20 Bn | 91.41 Bn | - | -106.00 Mn |
| 3 | United Parcel Service | 85.78 Bn | 62.67 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 79.94 Bn | 78.95 Bn | - | - |
| 5 | Norfolk Southern | 74.37 Bn | 69.01 Bn | - | - |
| 6 | Fedex | 71.39 Bn | 37.34 Bn | - | - |
| 7 | Delta Air Lines | 51.69 Bn | 33.88 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.48 Bn | 38.74 Bn | - | - |
| 9 | United Airlines Holdings | 33.26 Bn | -23.11 Bn | - | - |
| 10 | Expeditors International Of Washington | 26.02 Bn | 21.17 Bn | 1.09 Bn | -1.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.12 Mn |
| Mar 31, 2026 | 38.58 Mn |
| Dec 31, 2025 | 19.69 Mn |
| Sep 30, 2025 | 21.74 Mn |
| Jun 30, 2025 | -44.67 Mn |
| Mar 31, 2025 | 30.34 Mn |
| Dec 31, 2024 | 13.23 Mn |
| Sep 30, 2024 | 20.33 Mn |
| Jun 30, 2024 | -29.85 Mn |
| Mar 31, 2024 | 22.69 Mn |
| Dec 31, 2023 | 20.45 Mn |
| Sep 30, 2023 | -4.02 Mn |
| Jun 30, 2023 | -93.82 Mn |
| Mar 31, 2023 | 91,000.00 |
| Dec 31, 2022 | 23.44 Mn |
| Sep 30, 2022 | -31.40 Mn |
| Jun 30, 2022 | -93.43 Mn |
| Mar 31, 2022 | 46.26 Mn |
| Dec 31, 2021 | 25.85 Mn |
| Sep 30, 2021 | 33.38 Mn |
Expeditors International Of Washington Change in Taxes 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=change-in-taxes&ticker=EXPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=EXPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();