ZTO Express (Cayman) (ZTO) Exchange Rate Effect (2016 - 2026)
ZTO Express (Cayman) (ZTO) posted Exchange Rate Effect of -$12.47 million for the quarter ended Jun 30, 2026, compared with -$2.75 million a year earlier.
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Analysis
ZTO Express (Cayman) (ZTO) Exchange Rate Effect (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at ZTO Express (Cayman) was -$23.42 million; for the year ended Dec 31, 2025, it was -$8.34 million.
- In prior years, ZTO Express (Cayman)'s Exchange Rate Effect was $3.58 million in the year ended Dec 31, 2024 (-76.9%), $15.47 million in the year ended Dec 31, 2023 (-68.4%), $49.02 million in the year ended Dec 31, 2022 and -$22.46 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Exchange Rate Effect since the quarter ended Jun 30, 2021.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$7.27 million (quarter ended Mar 31, 2026), -$884,000 (quarter ended Dec 31, 2025) and -$2.79 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.67 Bn | 168.92 Bn | - | - |
| 2 | Csx | 95.86 Bn | 91.08 Bn | - | - |
| 3 | United Parcel Service | 89.65 Bn | 66.55 Bn | - | -13.00 Mn |
| 4 | Canadian Pacific Kansas City | 79.87 Bn | 78.89 Bn | - | 17.35 Mn |
| 5 | Norfolk Southern | 76.00 Bn | 70.46 Bn | - | - |
| 6 | Fedex | 72.37 Bn | 38.31 Bn | - | -39.00 Mn |
| 7 | Delta Air Lines | 52.60 Bn | 34.79 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.21 Bn | 35.47 Bn | - | - |
| 9 | United Airlines Holdings | 33.59 Bn | -24.11 Bn | - | - |
| 10 | ZTO Express (Cayman) | 15.78 Bn | -472.64 Mn | 550.21 Mn | -12.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.47 Mn |
| Mar 31, 2026 | -7.27 Mn |
| Dec 31, 2025 | -884,000.00 |
| Sep 30, 2025 | -2.79 Mn |
| Jun 30, 2025 | -2.75 Mn |
| Mar 31, 2025 | -1.73 Mn |
| Dec 31, 2024 | 4.71 Mn |
| Sep 30, 2024 | -6.18 Mn |
| Jun 30, 2024 | -485,000.00 |
| Mar 31, 2024 | 5.35 Mn |
| Dec 31, 2023 | 627,000.00 |
| Sep 30, 2023 | 1.30 Mn |
| Jun 30, 2023 | 14.46 Mn |
| Mar 31, 2023 | -1.30 Mn |
| Dec 31, 2022 | -8.59 Mn |
| Sep 30, 2022 | 31.56 Mn |
| Jun 30, 2022 | 28.91 Mn |
| Mar 31, 2022 | -3.29 Mn |
| Dec 31, 2021 | -7.51 Mn |
| Sep 30, 2021 | -301,000.00 |
API Access
ZTO Express (Cayman) Exchange Rate Effect 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=exchange-rate-effect&ticker=ZTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=ZTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();