ZIM Integrated Shipping Services (ZIM) EPS (Diluted) (2019 - 2026)
ZIM Integrated Shipping Services (ZIM) recorded EPS (Diluted) of $0.53 in the quarter ended Jun 30, 2026, up 170.4% from $0.20 a year earlier.
ZIM Integrated Shipping Services (ZIM) EPS (Diluted) (2019 - 2026) Analysis & Trends
On a TTM basis, ZIM Integrated Shipping Services' EPS (Diluted) came in at $1.16 as of Jun 30, 2026, down 93.1% year-over-year; for the year ended Dec 31, 2025, it came in at $4.00, down 77.6% from the prior year.
- Annual EPS (Diluted) has a five-year compound annual growth rate of -4.4% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EPS (Diluted) came in at $17.87 in the year ended Dec 31, 2024, -$22.36 in the year ended Dec 31, 2023, $38.43 in the year ended Dec 31, 2022 (-1.7%) and $39.09 in the year ended Dec 31, 2021 (+679.5%).
- Quarterly EPS (Diluted) has ranged from -$18.85 in the quarter ended Sep 30, 2023 to $14.39 in the quarter ended Mar 31, 2022 over the past five years.
- On a year-over-year basis, EPS (Diluted) rose in two of the last five quarters, with growth averaging 23.0%.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 869.1% in the quarter ended Sep 30, 2021, against a decline of 93.7% in the quarter ended Jun 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -$0.72 (quarter ended Mar 31, 2026), $0.32 (quarter ended Dec 31, 2025) and $1.02 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 3.36 |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 0.54 |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 0.83 |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 0.71 |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 3.26 |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 6.68 |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 2.44 |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.68 |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 1.17 |
| 10 | ZIM Integrated Shipping Services | 3.42 Bn | -4.08 Bn | 255.00 Mn | 0.53 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.53 |
| Mar 31, 2026 | -0.72 |
| Dec 31, 2025 | 0.32 |
| Sep 30, 2025 | 1.02 |
| Jun 30, 2025 | 0.20 |
| Mar 31, 2025 | 2.46 |
| Dec 31, 2024 | 4.67 |
| Sep 30, 2024 | 9.37 |
| Jun 30, 2024 | 3.10 |
| Mar 31, 2024 | 0.77 |
| Dec 31, 2023 | -1.22 |
| Sep 30, 2023 | -18.85 |
| Jun 30, 2023 | -1.77 |
| Mar 31, 2023 | -0.48 |
| Dec 31, 2022 | 3.46 |
| Sep 30, 2022 | 9.80 |
| Jun 30, 2022 | 11.23 |
| Mar 31, 2022 | 14.39 |
| Dec 31, 2021 | 14.36 |
| Sep 30, 2021 | 13.99 |
ZIM Integrated Shipping Services EPS (Diluted) 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=eps-diluted&ticker=ZIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=ZIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();