ZIM Integrated Shipping Services (ZIM) Change in Taxes (2020 - 2026)
ZIM Integrated Shipping Services' Change in Taxes was -$3.4 million in the quarter ended Jun 30, 2026, compared with $25.6 million a year earlier.
ZIM Integrated Shipping Services (ZIM) Change in Taxes (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, ZIM Integrated Shipping Services' Change in Taxes was $51.7 million through Jun 30, 2026, down 66.6% year-over-year; for the year ended Dec 31, 2025, it came in at $177 million, up 245.7% from the prior year.
- Change in Taxes shows a five-year compound annual growth rate of 60.5% (years ended Dec 2020 to Dec 2025).
- In earlier years, Change in Taxes was $51.2 million in the year ended Dec 31, 2024, -$127.6 million in the year ended Dec 31, 2023, $1.4 billion in the year ended Dec 31, 2022 (+38.4%) and $1.01 billion in the year ended Dec 31, 2021.
- Quarterly Change in Taxes has moved between -$71.1 million (the quarter ended Sep 30, 2023) and $507.6 million (the quarter ended Mar 31, 2022) over five years.
- The best year-over-year quarter for Change in Taxes over five years was the quarter ended Mar 31, 2022 (growth of 833.1%); the worst was the quarter ended Dec 31, 2023 (a decline of 93.3%).
- Per Business Quant data, ZIM's Change in Taxes in the three quarters before the quarter ended Jun 30, 2026 was -$11.9 million (quarter ended Mar 31, 2026), $18.1 million (quarter ended Dec 31, 2025) and $48.9 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 402.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | -106.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | - |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | - |
| 10 | ZIM Integrated Shipping Services | 3.58 Bn | -3.91 Bn | 255.00 Mn | -3.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.40 Mn |
| Mar 31, 2026 | -11.90 Mn |
| Dec 31, 2025 | 18.10 Mn |
| Sep 30, 2025 | 48.90 Mn |
| Jun 30, 2025 | 25.60 Mn |
| Mar 31, 2025 | 84.40 Mn |
| Dec 31, 2024 | 38.10 Mn |
| Sep 30, 2024 | 6.80 Mn |
| Jun 30, 2024 | 2.10 Mn |
| Mar 31, 2024 | 4.20 Mn |
| Dec 31, 2023 | 9.50 Mn |
| Sep 30, 2023 | -71.10 Mn |
| Jun 30, 2023 | -59.40 Mn |
| Mar 31, 2023 | -6.60 Mn |
| Dec 31, 2022 | 141.40 Mn |
| Sep 30, 2022 | 348.70 Mn |
| Jun 30, 2022 | 400.60 Mn |
| Mar 31, 2022 | 507.60 Mn |
| Dec 31, 2021 | 374.20 Mn |
| Sep 30, 2021 | 358.00 Mn |
ZIM Integrated Shipping Services Change in Taxes 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=change-in-taxes&ticker=ZIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=ZIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();