ZTO Express (Cayman) (ZTO) Total Non-Current Liabilities (2015 - 2023)
ZTO Express (Cayman)'s Total Non-Current Liabilities was $3.91 billion in the quarter ended Dec 31, 2023, up 15.7% from $3.38 billion a year earlier.
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Analysis
ZTO Express (Cayman) (ZTO) Total Non-Current Liabilities (2015 - 2023) Analysis & Trends
As of Dec 31, 2023, Total Non-Current Liabilities at ZTO Express (Cayman) came in at $3.96 billion, up 13.8% from the prior year.
- Total Non-Current Liabilities has now increased for six consecutive years, with a five-year compound annual growth rate of 38.6% (years ended Dec 2018 to Dec 2023).
- In earlier years, Total Non-Current Liabilities was $3.48 billion in the year ended Dec 31, 2022 (+60.6%), $2.17 billion in the year ended Dec 31, 2021 (+48.4%), $1.46 billion in the year ended Dec 31, 2020 (+36.5%) and $1.07 billion in the year ended Dec 31, 2019 (+38.3%).
- The figure for the quarter ended Dec 31, 2023 marks the highest quarterly Total Non-Current Liabilities in data going back to the quarter ended Dec 31, 2015.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 15.7% in the quarter ended Dec 31, 2023 to 77.4% in the quarter ended Sep 30, 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 48.79 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 27.16 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 151.69 Mn |
| 10 | ZTO Express (Cayman) | 15.37 Bn | -767.84 Mn | 550.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 3.91 Bn |
| Dec 31, 2022 | 3.38 Bn |
| Mar 31, 2022 | 2.63 Bn |
| Dec 31, 2021 | 2.16 Bn |
| Sep 30, 2021 | 2.11 Bn |
| Jun 30, 2021 | 1.87 Bn |
| Mar 31, 2021 | 1.84 Bn |
| Dec 31, 2020 | 1.52 Bn |
| Sep 30, 2020 | 1.52 Bn |
| Jun 30, 2020 | 1.33 Bn |
| Mar 31, 2020 | 1.24 Bn |
| Dec 31, 2019 | 1.05 Bn |
| Sep 30, 2019 | 855.83 Mn |
| Jun 30, 2019 | 852.21 Mn |
| Mar 31, 2019 | 955.79 Mn |
| Dec 31, 2018 | 780.09 Mn |
| Sep 30, 2018 | 603.13 Mn |
| Jun 30, 2018 | 621.14 Mn |
| Mar 31, 2018 | 639.22 Mn |
| Dec 31, 2017 | 643.31 Mn |
API Access
ZTO Express (Cayman) Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ZTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ZTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();