ZIM Integrated Shipping Services (ZIM) Inventory (2019 - 2026)
ZIM Integrated Shipping Services (ZIM) reported Inventory of $223.1 million for the quarter ended Jun 30, 2026, up 11.9% from $199.3 million a year earlier and up 8.0% from the prior quarter.
ZIM Integrated Shipping Services (ZIM) Inventory (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, ZIM Integrated Shipping Services posted Inventory of $167.8 million, down 20.9% from the prior year.
- Inventory has a five-year compound annual growth rate of 26.3% (years ended Dec 2020 to Dec 2025).
- By year, Inventory came in at $212.2 million in the year ended Dec 31, 2024 (+18.3%), $179.3 million in the year ended Dec 31, 2023 (-6.0%), $190.7 million in the year ended Dec 31, 2022 (+60.3%) and $119 million in the year ended Dec 31, 2021 (+127.8%).
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Inventory since the quarter ended Sep 30, 2022.
- Year over year, Inventory gained in five of the last eight quarters, with growth averaging 5.2%.
- The high point for year-over-year Inventory in five years was the quarter ended Dec 31, 2021 (growth of 127.8%); the low point was the quarter ended Sep 30, 2023 (a decline of 30.7%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $206.6 million (quarter ended Mar 31, 2026), $167.8 million (quarter ended Dec 31, 2025) and $182 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 919.00 Mn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 406.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 391.83 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 327.00 Mn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.56 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 5.35 Mn |
| 10 | ZIM Integrated Shipping Services | 3.42 Bn | -4.08 Bn | 255.00 Mn | 223.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 223.10 Mn |
| Mar 31, 2026 | 206.60 Mn |
| Dec 31, 2025 | 167.80 Mn |
| Sep 30, 2025 | 182.00 Mn |
| Jun 30, 2025 | 199.30 Mn |
| Mar 31, 2025 | 217.50 Mn |
| Dec 31, 2024 | 212.20 Mn |
| Sep 30, 2024 | 208.40 Mn |
| Jun 30, 2024 | 187.70 Mn |
| Mar 31, 2024 | 197.30 Mn |
| Dec 31, 2023 | 179.30 Mn |
| Sep 30, 2023 | 156.40 Mn |
| Jun 30, 2023 | 174.10 Mn |
| Mar 31, 2023 | 189.10 Mn |
| Dec 31, 2022 | 190.70 Mn |
| Sep 30, 2022 | 225.70 Mn |
| Jun 30, 2022 | 216.20 Mn |
| Mar 31, 2022 | 173.80 Mn |
| Dec 31, 2021 | 119.00 Mn |
| Sep 30, 2021 | 107.20 Mn |
ZIM Integrated Shipping Services Inventory 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=inventory&ticker=ZIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ZIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();