Mesoblast (MESO) Total Liabilities (2015 - 2026)
Mesoblast (MESO) posted Total Liabilities of $204.67 million for the quarter ended Jun 30, 2026, up 9.3% from $187.24 million a year earlier.
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Analysis
Mesoblast (MESO) Total Liabilities (2015 - 2026) Analysis & Trends
Since the quarter ended Jun 30, 2015, Mesoblast has reported Total Liabilities for 39 quarters.
- Annual Total Liabilities shows a five-year compound annual growth rate of 4.6% (years ended Jun 2021 to Jun 2026).
- In prior years, Mesoblast's Total Liabilities was $187.24 million in the year ended Jun 30, 2025 (-0.8%), $188.8 million in the year ended Jun 30, 2024 (+12.7%), $167.58 million in the year ended Jun 30, 2023 (+1.5%) and $165.1 million in the year ended Jun 30, 2022 (+1.1%).
- Quarterly Total Liabilities has run from a low of $161.55 million in the quarter ended Dec 31, 2023 to a high of $207.62 million in the quarter ended Dec 31, 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in three of the last four quarters, with growth averaging 8.9%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was the quarter ended Dec 31, 2024, with growth of 18.9%; the weakest was the quarter ended Sep 30, 2021, with a decline of 6.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Mesoblast | 1.88 Bn | 1.44 Bn | - | 204.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 204.67 Mn |
| Dec 31, 2025 | 207.62 Mn |
| Jun 30, 2025 | 187.24 Mn |
| Dec 31, 2024 | 192.06 Mn |
| Jun 30, 2024 | 188.80 Mn |
| Dec 31, 2023 | 161.55 Mn |
| Jun 30, 2023 | 167.58 Mn |
| Mar 31, 2023 | 168.27 Mn |
| Dec 31, 2022 | 168.06 Mn |
| Sep 30, 2022 | 161.69 Mn |
| Jun 30, 2022 | 165.10 Mn |
| Mar 31, 2022 | 164.56 Mn |
| Dec 31, 2021 | 168.93 Mn |
| Sep 30, 2021 | 162.07 Mn |
| Jun 30, 2021 | 163.32 Mn |
| Mar 31, 2021 | 165.20 Mn |
| Dec 31, 2020 | 168.58 Mn |
| Sep 30, 2020 | 174.07 Mn |
| Jun 30, 2020 | 184.28 Mn |
| Mar 31, 2020 | 177.98 Mn |
API Access
Mesoblast Total Liabilities 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=total-liabilities&ticker=MESO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MESO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();