Grace Therapeutics (GRCE) Change in Accured Expenses (2019 - 2021)
Grace Therapeutics (GRCE) recorded Change in Accured Expenses of $2.39 million in FY2022 (year ended Mar 31, 2022), down 64.4% from $6.7 million in FY2021.
Grace Therapeutics (GRCE) Change in Accured Expenses (2019 - 2021) Analysis & Trends
Starting with FY2019, Grace Therapeutics' Change in Accured Expenses history includes 4 fiscal years.
- Annual Change in Accured Expenses has a three-year compound annual growth rate of -31.5% (FY2019 to FY2022).
- Annual Change in Accured Expenses has ranged from -$3.39 million in FY2020 to $7.44 million in FY2019 over the past five years.
- Per Business Quant data, GRCE's Change in Accured Expenses was $6.7 million in FY2021, -$3.39 million in FY2020 and $7.44 million in FY2019.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | - |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | - |
| 10 | Grace Therapeutics | 31.08 Mn | -35.18 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | -1.04 Mn |
| Jun 30, 2021 | 27,000.00 |
| Mar 31, 2021 | 12.59 Mn |
| Dec 31, 2020 | -2.00 Mn |
| Sep 30, 2020 | -2.35 Mn |
| Jun 30, 2020 | -1.54 Mn |
| Mar 31, 2020 | -1.05 Mn |
| Dec 31, 2019 | -696,000.00 |
| Sep 30, 2019 | -1.84 Mn |
| Jun 30, 2019 | 122,000.00 |
Grace Therapeutics 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=GRCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GRCE", "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=GRCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();