Mesoblast (MESO) Change in Accured Expenses (2018 - 2022)
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.
Mesoblast (MESO) Change in Accured Expenses (2018 - 2022) 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Mesoblast | 1.82 Bn | 1.39 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2018 | -2.92 Mn |
| Mar 31, 2018 | 2.35 Mn |
Mesoblast Change in Accured 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_KEY
import 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();