ZIM Integrated Shipping Services (ZIM) Operating Expenses (2019 - 2026)
ZIM Integrated Shipping Services (ZIM) posted Operating Expenses of -$419.6 million for the quarter ended Jun 30, 2026, compared with -$401.1 million a year earlier.
Powered by 
Analysis
ZIM Integrated Shipping Services (ZIM) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at ZIM Integrated Shipping Services was -$1.63 billion; for the year ended Dec 31, 2025, it was -$1.6 billion.
- In prior years, ZIM Integrated Shipping Services' Operating Expenses was -$1.43 billion in the year ended Dec 31, 2024, -$1.73 billion in the year ended Dec 31, 2023, -$1.71 billion in the year ended Dec 31, 2022 and -$1.02 billion in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Operating Expenses since the quarter ended Sep 30, 2023.
- According to Business Quant data, Operating Expenses for the three prior quarters was -$403.8 million (quarter ended Mar 31, 2026), -$394.7 million (quarter ended Dec 31, 2025) and -$410.2 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.10 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 4.43 Bn |
| 10 | ZIM Integrated Shipping Services | 3.42 Bn | -4.08 Bn | 255.00 Mn | -419.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -419.60 Mn |
| Mar 31, 2026 | -403.80 Mn |
| Dec 31, 2025 | -394.70 Mn |
| Sep 30, 2025 | -410.20 Mn |
| Jun 30, 2025 | -401.10 Mn |
| Mar 31, 2025 | -389.80 Mn |
| Dec 31, 2024 | -391.70 Mn |
| Sep 30, 2024 | -368.00 Mn |
| Jun 30, 2024 | -348.10 Mn |
| Mar 31, 2024 | -318.50 Mn |
| Dec 31, 2023 | -308.30 Mn |
| Sep 30, 2023 | -481.30 Mn |
| Jun 30, 2023 | -486.30 Mn |
| Mar 31, 2023 | -454.60 Mn |
| Dec 31, 2022 | -474.90 Mn |
| Sep 30, 2022 | -455.70 Mn |
| Jun 30, 2022 | -416.50 Mn |
| Mar 31, 2022 | -361.50 Mn |
| Dec 31, 2021 | -325.20 Mn |
| Sep 30, 2021 | -275.60 Mn |
API Access
ZIM Integrated Shipping Services Operating Expenses 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-expenses&ticker=ZIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=ZIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();