Mesoblast (MESO) Change in Accrued Expenses (2014 - 2023)
Mesoblast's Change in Accured Expenses was -$2.39 million in the quarter ended Sep 30, 2022, compared with -$3.02 million a year earlier.
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Analysis
Mesoblast (MESO) Change in Accrued Expenses (2014 - 2023) Analysis & Trends
On a trailing twelve-month basis, Mesoblast's Change in Accured Expenses was $5.41 million through Sep 30, 2022; for the year ended Jun 30, 2022, it came in at $4.78 million.
- In earlier years, Change in Accured Expenses was -$5.06 million in the year ended Jun 30, 2021, $3.6 million in the year ended Jun 30, 2020, -$3.97 million in the year ended Jun 30, 2019 and -$4.46 million in the year ended Jun 30, 2018.
- Quarterly Change in Accured Expenses has moved between -$7.34 million (the quarter ended Mar 31, 2019) and $6.29 million (the quarter ended Dec 31, 2018) over five years.
- Per Business Quant data, MESO's Change in Accured Expenses in the three quarters before the quarter ended Sep 30, 2022 was $4.09 million (quarter ended Jun 30, 2022), -$1.43 million (quarter ended Mar 31, 2022) and $5.13 million (quarter ended Dec 31, 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Mesoblast | 1.81 Bn | 1.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -1.00 Mn |
| Mar 31, 2023 | -2.00 Mn |
| Dec 31, 2022 | 5.00 Mn |
| Sep 30, 2022 | -2.39 Mn |
| Jun 30, 2022 | 4.09 Mn |
| Mar 31, 2022 | -1.43 Mn |
| Dec 31, 2021 | 5.13 Mn |
| Sep 30, 2021 | -3.02 Mn |
| Jun 30, 2021 | -4.53 Mn |
| Mar 31, 2021 | -3.72 Mn |
| Dec 31, 2020 | -412,000.00 |
| Sep 30, 2020 | 3.60 Mn |
| Jun 30, 2020 | -2.71 Mn |
| Mar 31, 2020 | 403,000.00 |
| Dec 31, 2019 | 6.21 Mn |
| Sep 30, 2019 | -300,000.00 |
| Jun 30, 2019 | -5.10 Mn |
| Mar 31, 2019 | -7.34 Mn |
| Dec 31, 2018 | 6.29 Mn |
| Sep 30, 2018 | 2.19 Mn |
API Access
Mesoblast Change in Accrued Expenses 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=change-in-accured-expenses&ticker=MESO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=MESO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();