ZIM Integrated Shipping Services (ZIM) Selling, General & Administrative (2019 - 2026)
ZIM Integrated Shipping Services' Selling, General & Administrative was -$107.5 million in the quarter ended Jun 30, 2026, compared with -$84.2 million a year earlier.
Powered by 
Analysis
ZIM Integrated Shipping Services (ZIM) Selling, General & Administrative (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, ZIM Integrated Shipping Services' Selling, General & Administrative was -$376.8 million through Jun 30, 2026; for the year ended Dec 31, 2025, it came in at -$336.3 million.
- In earlier years, Selling, General & Administrative was -$296.1 million in the year ended Dec 31, 2024, -$280.7 million in the year ended Dec 31, 2023, -$338.3 million in the year ended Dec 31, 2022 and -$267.7 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Selling, General & Administrative in data going back to the quarter ended Dec 31, 2019.
- Per Business Quant data, ZIM's Selling, General & Administrative in the three quarters before the quarter ended Jun 30, 2026 was -$96.2 million (quarter ended Mar 31, 2026), -$88.4 million (quarter ended Dec 31, 2025) and -$84.7 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | ZIM Integrated Shipping Services | 3.57 Bn | -3.92 Bn | 255.00 Mn | -107.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -107.50 Mn |
| Mar 31, 2026 | -96.20 Mn |
| Dec 31, 2025 | -88.40 Mn |
| Sep 30, 2025 | -84.70 Mn |
| Jun 30, 2025 | -84.20 Mn |
| Mar 31, 2025 | -79.00 Mn |
| Dec 31, 2024 | -86.40 Mn |
| Sep 30, 2024 | -75.90 Mn |
| Jun 30, 2024 | -73.00 Mn |
| Mar 31, 2024 | -60.80 Mn |
| Dec 31, 2023 | -71.30 Mn |
| Sep 30, 2023 | -63.90 Mn |
| Jun 30, 2023 | -71.40 Mn |
| Mar 31, 2023 | -74.10 Mn |
| Dec 31, 2022 | -94.30 Mn |
| Sep 30, 2022 | -82.00 Mn |
| Jun 30, 2022 | -84.90 Mn |
| Mar 31, 2022 | -77.10 Mn |
| Dec 31, 2021 | -83.80 Mn |
| Sep 30, 2021 | -60.40 Mn |
API Access
ZIM Integrated Shipping Services Selling, General & Administrative 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=selling-general-and-administrative&ticker=ZIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ZIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();