ZIM Integrated Shipping Services (ZIM) Debt Ratio (2019 - 2025)
ZIM Integrated Shipping Services' (ZIM) Debt Ratio came in at 0.17 for the quarter ended Dec 31, 2025, compared with 0.01 a year earlier.
ZIM Integrated Shipping Services (ZIM) Debt Ratio (2019 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2019, ZIM Integrated Shipping Services has reported Debt Ratio for 12 quarters.
- In prior years, ZIM Integrated Shipping Services' Debt Ratio was 0.01 in the year ended Dec 31, 2024 (-33.4%), 0.02 in the year ended Dec 31, 2023 (-87.5%), 0.15 in the year ended Dec 31, 2022 (+236.4%) and 0.04 in the year ended Dec 31, 2021 (-84.1%).
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Debt Ratio since the quarter ended Dec 31, 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 0.43 |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 0.42 |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 0.28 |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 0.34 |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 0.37 |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 0.26 |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 0.17 |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 0.00 |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 0.00 |
| 10 | ZIM Integrated Shipping Services | 3.42 Bn | -4.08 Bn | 255.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.17 |
| Dec 31, 2024 | 0.01 |
| Dec 31, 2023 | 0.02 |
| Sep 30, 2023 | 0.13 |
| Jun 30, 2023 | 0.10 |
| Mar 31, 2023 | 0.06 |
| Dec 31, 2022 | 0.15 |
| Sep 30, 2022 | 0.05 |
| Jun 30, 2022 | 0.04 |
| Dec 31, 2021 | 0.04 |
| Dec 31, 2020 | 0.28 |
| Dec 31, 2019 | 0.41 |
ZIM Integrated Shipping Services Debt Ratio 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=debt-ratio&ticker=ZIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "ZIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=ZIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();