Expeditors International Of Washington (EXPD) Price to Earnings (2009 - 2026)
Expeditors International Of Washington's Price to Earnings was 23.06 in Q2 2026, up 27.4% from 18.10 a year earlier and up 2.0% from the prior quarter.
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Analysis
Expeditors International Of Washington (EXPD) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Expeditors International Of Washington came in at 24.62, up 30.5% from FY2024.
- In earlier years, Price to Earnings was 18.87 in FY2024 (-22.4%), 24.31 in FY2023 (+105.7%), 11.81 in FY2022 (-25.5%) and 15.86 in FY2021 (-31.4%).
- Quarterly Price to Earnings has moved between 8.83 (Q3 2022) and 26.01 (Q2 2024) over five years.
- Compared with a year earlier, Price to Earnings has increased for three straight quarters, with an average year-over-year change of 0.0% over the last eight quarters.
- The best year-over-year quarter for Price to Earnings over five years was Q3 2023 (growth of 132.0%); the worst was Q2 2022 (a decline of 52.0%).
- Per Business Quant data, EXPD's Price to Earnings in the three quarters before Q2 2026 was 22.62 (Q1 2026), 24.62 (Q4 2025) and 19.43 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - |
| 10 | Expeditors International Of Washington | 25.96 Bn | 21.11 Bn | 1.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.06 |
| Mar 31, 2026 | 22.62 |
| Dec 31, 2025 | 24.62 |
| Sep 30, 2025 | 19.43 |
| Jun 30, 2025 | 18.10 |
| Mar 31, 2025 | 19.46 |
| Dec 31, 2024 | 18.87 |
| Sep 30, 2024 | 25.09 |
| Jun 30, 2024 | 26.01 |
| Mar 31, 2024 | 24.65 |
| Dec 31, 2023 | 24.31 |
| Sep 30, 2023 | 20.49 |
| Jun 30, 2023 | 16.88 |
| Mar 31, 2023 | 13.59 |
| Dec 31, 2022 | 11.81 |
| Sep 30, 2022 | 8.83 |
| Jun 30, 2022 | 10.34 |
| Mar 31, 2022 | 11.72 |
| Dec 31, 2021 | 15.86 |
| Sep 30, 2021 | 17.38 |
API Access
Expeditors International Of Washington Price to Earnings 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=price-to-earnings&ticker=EXPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=EXPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();