Grace Therapeutics (GRCE) Accumulated Expenses (2019 - 2024)
Grace Therapeutics (GRCE) recorded Accumulated Expenses of $814,000 in fiscal Q1 2025 (quarter ended Jun 30, 2024), down 18.1% from $994,000 a year earlier but up 362.5% from the prior quarter.
Grace Therapeutics (GRCE) Accumulated Expenses (2019 - 2024) Analysis & Trends
At the end of FY2024 (ended Mar 31, 2024), Grace Therapeutics reported Accumulated Expenses of $176,000, down 81.4% from FY2023.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -53.0% (FY2019 to FY2024).
- Across earlier fiscal years, Accumulated Expenses came in at $946,000 in FY2023 (+219.6%), $296,000 in FY2022 (-51.2%), $607,000 in FY2021 (-85.7%) and $4.25 million in FY2020 (-44.8%).
- Quarterly Accumulated Expenses has ranged from $176,000 in fiscal Q4 2024 to $4.25 million in fiscal Q4 2020 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $176,000 (Q4 2024), $532,000 (Q3 2024) and $460,000 (Q2 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Grace Therapeutics | 34.02 Mn | -32.25 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 814,000.00 |
| Mar 31, 2024 | 176,000.00 |
| Dec 31, 2023 | 532,000.00 |
| Sep 30, 2023 | 460,000.00 |
| Jun 30, 2023 | 994,000.00 |
| Mar 31, 2023 | 946,000.00 |
| Mar 31, 2022 | 296,000.00 |
| Mar 31, 2021 | 607,000.00 |
| Mar 31, 2020 | 4.25 Mn |
| Mar 31, 2019 | 7.70 Mn |
Grace Therapeutics Accumulated 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=accumulated-expenses&ticker=GRCE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GRCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();