ZTO Express (Cayman) (ZTO) Asset Writedowns and Impairment (2017 - 2024)
ZTO Express (Cayman)'s Asset Writedowns and Impairment came in at $12.07 million for the year ended Dec 31, 2025, compared with -$127.6 million a year earlier.
ZTO Express (Cayman) (ZTO) Asset Writedowns and Impairment (2017 - 2024) Analysis & Trends
Going back to the year ended Dec 31, 2017, ZTO Express (Cayman)'s Asset Writedowns and Impairment data covers 6 years.
- Asset Writedowns and Impairment carries a three-year compound annual growth rate of 46.8% (years ended Dec 2022 to Dec 2025).
- The figure for the year ended Dec 31, 2025 represents the highest annual Asset Writedowns and Impairment in data going back to the year ended Dec 31, 2017.
- Per Business Quant, earlier years put Asset Writedowns and Impairment at -$127.6 million in the year ended Dec 31, 2024, $10.79 million in the year ended Dec 31, 2023 (+182.7%) and $3.82 million in the year ended Dec 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - |
| 10 | ZTO Express (Cayman) | 16.58 Bn | 332.97 Mn | 550.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -35.42 Mn |
| Jun 30, 2024 | -26.76 Mn |
| Mar 31, 2024 | -66.25 Mn |
| Dec 31, 2022 | 4.34 Mn |
| Sep 30, 2022 | -3.70 Mn |
| Dec 31, 2019 | -7.95 Mn |
| Dec 31, 2017 | -4.53 Mn |
ZTO Express (Cayman) Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=ZTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=ZTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();