Expeditors International Of Washington (EXPD) EV to EBITDA (2009 - 2026)
Expeditors International Of Washington's (EXPD) EV to EBITDA came in at 16.28 for Q2 2026, up 34.0% from 12.15 a year earlier and up 5.3% from the prior quarter.
Expeditors International Of Washington (EXPD) EV to EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Expeditors International Of Washington was 13.20, up 47.4% year-over-year; for FY2025, it came in at 16.80, up 31.0% from FY2024.
- In prior years, Expeditors International Of Washington's EV to EBITDA was 12.83 in FY2024 (-23.0%), 16.66 in FY2023 (+123.8%), 7.44 in FY2022 (-29.6%) and 10.57 in FY2021 (-27.7%).
- Quarterly EV to EBITDA has run from a low of 5.48 in Q3 2022 to a high of 17.67 in Q2 2024 over five years.
- On a year-over-year basis, EV to EBITDA has increased in each of the last three quarters, with growth averaging 1.6% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q3 2023, with growth of 142.4%; the weakest was Q2 2022, with a decline of 54.2%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 15.47 (Q1 2026), 16.80 (Q4 2025) and 13.13 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.67 Bn | 165.19 Bn | - |
| 2 | Csx | 89.41 Bn | 85.62 Bn | - |
| 3 | United Parcel Service | 84.41 Bn | 61.30 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.61 Bn | 76.63 Bn | - |
| 5 | Norfolk Southern | 73.15 Bn | 67.79 Bn | - |
| 6 | Fedex | 71.29 Bn | 37.23 Bn | - |
| 7 | Delta Air Lines | 50.46 Bn | 32.65 Bn | - |
| 8 | Old Dominion Freight Line | 39.33 Bn | 38.60 Bn | - |
| 9 | United Airlines Holdings | 32.11 Bn | -24.26 Bn | - |
| 10 | Expeditors International Of Washington | 25.94 Bn | 21.09 Bn | 1.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.28 |
| Mar 31, 2026 | 15.47 |
| Dec 31, 2025 | 16.80 |
| Sep 30, 2025 | 13.13 |
| Jun 30, 2025 | 12.15 |
| Mar 31, 2025 | 13.12 |
| Dec 31, 2024 | 12.83 |
| Sep 30, 2024 | 16.98 |
| Jun 30, 2024 | 17.67 |
| Mar 31, 2024 | 16.68 |
| Dec 31, 2023 | 16.66 |
| Sep 30, 2023 | 13.28 |
| Jun 30, 2023 | 11.19 |
| Mar 31, 2023 | 8.52 |
| Dec 31, 2022 | 7.44 |
| Sep 30, 2022 | 5.48 |
| Jun 30, 2022 | 6.52 |
| Mar 31, 2022 | 7.43 |
| Dec 31, 2021 | 10.57 |
| Sep 30, 2021 | 11.33 |
Expeditors International Of Washington EV to EBITDA 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=ev-to-ebitda&ticker=EXPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=EXPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();