ZIM Integrated Shipping Services (ZIM) Pension (2019 - 2026)
ZIM Integrated Shipping Services (ZIM) posted Pension of $78.4 million for the quarter ended Jun 30, 2026, up 28.7% from $60.9 million a year earlier and up 9.7% from the prior quarter.
ZIM Integrated Shipping Services (ZIM) Pension (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, ZIM Integrated Shipping Services' Pension came in at $63.4 million, up 33.5% from the prior year.
- Annual Pension has increased for three consecutive years, though with a five-year compound annual growth rate of -1.0% (years ended Dec 2020 to Dec 2025).
- In prior years, ZIM Integrated Shipping Services' Pension was $47.5 million in the year ended Dec 31, 2024 (+3.0%), $46.1 million in the year ended Dec 31, 2023 (+2.0%), $45.2 million in the year ended Dec 31, 2022 (-31.1%) and $65.6 million in the year ended Dec 31, 2021 (-1.5%).
- The figure for the quarter ended Jun 30, 2026 stands as the highest quarterly Pension in data going back to the quarter ended Dec 31, 2019.
- On a year-over-year basis, Pension has increased in each of the last 11 quarters, with growth averaging 26.6% over the last eight quarters.
- The strongest year-over-year quarter for Pension in the past five years was the quarter ended Sep 30, 2025, with growth of 43.3%; the weakest was the quarter ended Dec 31, 2022, with a decline of 31.1%.
- According to Business Quant data, Pension for the three prior quarters was $71.5 million (quarter ended Mar 31, 2026), $63.4 million (quarter ended Dec 31, 2025) and $62.2 million (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 | 78.40 Mn |
| Mar 31, 2026 | 71.50 Mn |
| Dec 31, 2025 | 63.40 Mn |
| Sep 30, 2025 | 62.20 Mn |
| Jun 30, 2025 | 60.90 Mn |
| Mar 31, 2025 | 55.20 Mn |
| Dec 31, 2024 | 47.50 Mn |
| Sep 30, 2024 | 43.40 Mn |
| Jun 30, 2024 | 42.50 Mn |
| Mar 31, 2024 | 45.40 Mn |
| Dec 31, 2023 | 46.10 Mn |
| Sep 30, 2023 | 39.40 Mn |
| Jun 30, 2023 | 42.40 Mn |
| Mar 31, 2023 | 42.80 Mn |
| Dec 31, 2022 | 45.20 Mn |
| Sep 30, 2022 | 45.00 Mn |
| Jun 30, 2022 | 50.00 Mn |
| Mar 31, 2022 | 57.10 Mn |
| Dec 31, 2021 | 65.60 Mn |
| Sep 30, 2021 | 63.60 Mn |
ZIM Integrated Shipping Services Pension 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=pension&ticker=ZIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=ZIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();