ZIM Integrated Shipping Services (ZIM) Operating Leases (2019 - 2026)
ZIM Integrated Shipping Services (ZIM) posted Operating Leases of $4.19 billion for the quarter ended Jun 30, 2026, down 9.8% from $4.65 billion a year earlier and down 3.0% from the prior quarter.
ZIM Integrated Shipping Services (ZIM) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, ZIM Integrated Shipping Services' Operating Leases came in at $4.55 billion, down 1.1% from the prior year.
- Annual Operating Leases shows a five-year compound annual growth rate of 41.2% (years ended Dec 2020 to Dec 2025).
- In prior years, ZIM Integrated Shipping Services' Operating Leases was $4.6 billion in the year ended Dec 31, 2024 (+41.8%), $3.24 billion in the year ended Dec 31, 2023 (+16.7%), $2.78 billion in the year ended Dec 31, 2022 (+27.5%) and $2.18 billion in the year ended Dec 31, 2021 (+168.4%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Operating Leases since the quarter ended Jun 30, 2024.
- On a year-over-year basis, Operating Leases has declined in each of the last three quarters, with growth averaging 14.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was the quarter ended Dec 31, 2021, with growth of 168.4%; the weakest was the quarter ended Jun 30, 2026, with a decline of 9.8%.
- According to Business Quant data, Operating Leases for the three prior quarters was $4.32 billion (quarter ended Mar 31, 2026), $4.55 billion (quarter ended Dec 31, 2025) and $4.43 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | ZIM Integrated Shipping Services | 3.42 Bn | -4.08 Bn | 255.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.19 Bn |
| Mar 31, 2026 | 4.32 Bn |
| Dec 31, 2025 | 4.55 Bn |
| Sep 30, 2025 | 4.43 Bn |
| Jun 30, 2025 | 4.65 Bn |
| Mar 31, 2025 | 4.54 Bn |
| Dec 31, 2024 | 4.60 Bn |
| Sep 30, 2024 | 4.28 Bn |
| Jun 30, 2024 | 4.00 Bn |
| Mar 31, 2024 | 3.72 Bn |
| Dec 31, 2023 | 3.24 Bn |
| Sep 30, 2023 | 2.95 Bn |
| Jun 30, 2023 | 3.23 Bn |
| Mar 31, 2023 | 2.99 Bn |
| Dec 31, 2022 | 2.78 Bn |
| Sep 30, 2022 | 3.02 Bn |
| Jun 30, 2022 | 2.93 Bn |
| Mar 31, 2022 | 2.78 Bn |
| Dec 31, 2021 | 2.18 Bn |
| Sep 30, 2021 | 1.77 Bn |
ZIM Integrated Shipping Services Operating Leases 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=operating-leases&ticker=ZIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ZIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();