ZTO Express (Cayman) (ZTO) Amortization - Intangibles (2015 - 2024)
ZTO Express (Cayman)'s Amortization - Intangibles was $4.71 million in the quarter ended Mar 31, 2024, down 7.5% from $5.09 million a year earlier.
ZTO Express (Cayman) (ZTO) Amortization - Intangibles (2015 - 2024) Analysis & Trends
On a trailing twelve-month basis, ZTO Express (Cayman)'s Amortization - Intangibles was $19.27 million through Mar 31, 2024, down 1.6% year-over-year; for the year ended Dec 31, 2022, it came in at $18.8 million, up 0.3% from the prior year.
- Amortization - Intangibles has now increased for seven consecutive years, with a five-year compound annual growth rate of 26.7% (years ended Dec 2017 to Dec 2022).
- In earlier years, Amortization - Intangibles was $18.75 million in the year ended Dec 31, 2021 (+49.5%), $12.54 million in the year ended Dec 31, 2020 (+60.1%), $7.83 million in the year ended Dec 31, 2019 (+20.4%) and $6.5 million in the year ended Dec 31, 2018 (+12.8%).
- Quarterly Amortization - Intangibles has moved between $2.1 million (the quarter ended Dec 31, 2019) and $5.1 million (the quarter ended Dec 31, 2022) over five years.
- Compared with a year earlier, Amortization - Intangibles was higher in two of the last five quarters, with an average decline of 0.1%.
- The best year-over-year quarter for Amortization - Intangibles over five years was the quarter ended Dec 31, 2020 (growth of 69.4%); the worst was the quarter ended Mar 31, 2024 (a decline of 7.5%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | ZTO Express (Cayman) | 15.37 Bn | -767.84 Mn | 550.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 4.71 Mn |
| Sep 30, 2023 | 4.38 Mn |
| Mar 31, 2023 | 5.09 Mn |
| Dec 31, 2022 | 5.10 Mn |
| Sep 30, 2022 | 4.50 Mn |
| Mar 31, 2022 | 4.90 Mn |
| Dec 31, 2021 | 4.76 Mn |
| Sep 30, 2021 | 4.56 Mn |
| Mar 31, 2021 | 3.96 Mn |
| Dec 31, 2020 | 3.55 Mn |
| Dec 31, 2019 | 2.10 Mn |
| Jun 30, 2019 | 2.15 Mn |
| Mar 31, 2019 | 1.68 Mn |
| Dec 31, 2018 | 1.40 Mn |
| Sep 30, 2018 | 1.71 Mn |
| Jun 30, 2018 | 1.92 Mn |
| Mar 31, 2018 | 1.70 Mn |
| Dec 31, 2017 | 1.96 Mn |
| Sep 30, 2017 | 1.27 Mn |
| Jun 30, 2017 | 1.28 Mn |
ZTO Express (Cayman) Amortization - Intangibles 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=amortization-intangibles&ticker=ZTO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=ZTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();