Mesoblast (MESO) EPS (Diluted) (2014 - 2023)
Mesoblast (MESO) recorded EPS (Diluted) of -$0.44 in the year ended Jun 30, 2026, compared with -$0.85 a year earlier.
Analysis
Mesoblast (MESO) EPS (Diluted) (2014 - 2023) Analysis & Trends
Starting with the year ended Jun 30, 2015, Mesoblast's EPS (Diluted) history includes 12 years.
- The figure for the year ended Jun 30, 2026 is the highest annual EPS (Diluted) since the year ended Jun 30, 2016.
- Per Business Quant data, MESO's EPS (Diluted) was -$0.85 in the year ended Jun 30, 2025, -$0.89 in the year ended Jun 30, 2024, -$1.11 in the year ended Jun 30, 2023 and -$1.41 in the year ended Jun 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 7.22 |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 0.09 |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 2.38 |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 2.04 |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 7.08 |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 1.94 |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 0.56 |
| 10 | Mesoblast | 1.84 Bn | 1.40 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -0.30 |
| Mar 31, 2023 | -0.29 |
| Dec 31, 2022 | -0.38 |
| Sep 30, 2022 | -0.26 |
| Jun 30, 2022 | -0.33 |
| Mar 31, 2022 | -0.35 |
| Dec 31, 2021 | -0.43 |
| Sep 30, 2021 | -0.37 |
| Jun 30, 2021 | -0.36 |
| Mar 31, 2021 | -0.50 |
| Dec 31, 2020 | -0.49 |
| Sep 30, 2020 | -0.46 |
| Jun 30, 2020 | -0.62 |
| Mar 31, 2020 | -0.31 |
| Dec 31, 2019 | -0.50 |
| Sep 30, 2019 | -0.11 |
| Jun 30, 2019 | -0.42 |
| Mar 31, 2019 | -0.54 |
| Dec 31, 2018 | -0.53 |
| Sep 30, 2018 | -0.42 |
API Access
Mesoblast 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=MESO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "MESO", "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=MESO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();