ZTO Express (Cayman) (ZTO) EPS (Diluted) (2015 - 2026)
ZTO Express (Cayman) (ZTO) posted EPS (Diluted) of $0.55 for the quarter ended Jun 30, 2026, up 69.7% from $0.32 a year earlier and up 46.4% from the prior quarter.
ZTO Express (Cayman) (ZTO) EPS (Diluted) (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at ZTO Express (Cayman) was $1.81, up 25.2% year-over-year; for the year ended Dec 31, 2025, it was $1.58, up 9.8% from the prior year.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 15.0% (years ended Dec 2020 to Dec 2025).
- In prior years, ZTO Express (Cayman)'s EPS (Diluted) was $1.44 in the year ended Dec 31, 2024 (-1.9%), $1.47 in the year ended Dec 31, 2023 (+22.0%), $1.20 in the year ended Dec 31, 2022 (+33.9%) and $0.90 in the year ended Dec 31, 2021 (+14.5%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly EPS (Diluted) in data going back to the quarter ended Sep 30, 2015.
- On a year-over-year basis, EPS (Diluted) has increased in each of the last four quarters, with growth averaging 16.2% over the last eight quarters.
- The strongest year-over-year quarter for EPS (Diluted) in the past five years was the quarter ended Mar 31, 2022, with growth of 70.4%; the weakest was the quarter ended Jun 30, 2025, with a decline of 24.7%.
- According to Business Quant data, EPS (Diluted) for the three prior quarters was $0.37 (quarter ended Mar 31, 2026), $0.46 (quarter ended Dec 31, 2025) and $0.42 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 3.36 |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 0.54 |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 0.83 |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 0.71 |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 3.26 |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 6.68 |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 2.44 |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 1.68 |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 1.17 |
| 10 | ZTO Express (Cayman) | 15.37 Bn | -767.84 Mn | 550.21 Mn | 0.55 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.55 |
| Mar 31, 2026 | 0.37 |
| Dec 31, 2025 | 0.46 |
| Sep 30, 2025 | 0.42 |
| Jun 30, 2025 | 0.32 |
| Mar 31, 2025 | 0.33 |
| Dec 31, 2024 | 0.39 |
| Sep 30, 2024 | 0.41 |
| Jun 30, 2024 | 0.43 |
| Mar 31, 2024 | 0.24 |
| Dec 31, 2023 | 0.37 |
| Sep 30, 2023 | 0.39 |
| Jun 30, 2023 | 0.43 |
| Mar 31, 2023 | 0.30 |
| Dec 31, 2022 | 0.38 |
| Sep 30, 2022 | 0.33 |
| Jun 30, 2022 | 0.33 |
| Mar 31, 2022 | 0.17 |
| Dec 31, 2021 | 0.34 |
| Sep 30, 2021 | 0.23 |
ZTO Express (Cayman) EPS (Diluted) 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=eps-diluted&ticker=ZTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "ZTO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=ZTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();