Grace Therapeutics (GRCE) Operating Expenses (2019 - 2026)
Grace Therapeutics (GRCE) recorded Operating Expenses of $2.38 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 22.8% from $3.09 million a year earlier and down 20.8% from the prior quarter.
Grace Therapeutics (GRCE) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Grace Therapeutics' Operating Expenses came in at $10.37 million as of Jun 30, 2026, down 30.0% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $11.08 million, down 33.6% from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 2.7% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $16.68 million in FY2025 (+29.8%), $12.85 million in FY2024 (-26.9%), $17.59 million in FY2023 (+18.6%) and $14.82 million in FY2022 (+52.9%).
- The fiscal Q1 2027 figure is the lowest quarterly Operating Expenses since fiscal Q2 2024.
- On a year-over-year basis, Operating Expenses has declined for six consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 130.9% in fiscal Q2 2025, against a decline of 57.9% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.01 million (Q4 2026), $2.45 million (Q3 2026) and $2.53 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Grace Therapeutics | 34.50 Mn | 34.50 Mn | - | 2.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.38 Mn |
| Mar 31, 2026 | 3.01 Mn |
| Dec 31, 2025 | 2.45 Mn |
| Sep 30, 2025 | 2.53 Mn |
| Jun 30, 2025 | 3.09 Mn |
| Mar 31, 2025 | 3.18 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Sep 30, 2024 | 4.83 Mn |
| Jun 30, 2024 | 4.96 Mn |
| Mar 31, 2024 | 3.26 Mn |
| Dec 31, 2023 | 3.04 Mn |
| Sep 30, 2023 | 2.09 Mn |
| Jun 30, 2023 | 4.45 Mn |
| Mar 31, 2023 | 4.07 Mn |
| Dec 31, 2022 | 4.04 Mn |
| Sep 30, 2022 | 4.97 Mn |
| Jun 30, 2022 | 4.51 Mn |
| Mar 31, 2022 | 4.15 Mn |
| Dec 31, 2021 | 3.99 Mn |
| Sep 30, 2021 | 3.54 Mn |
Grace Therapeutics Operating 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=operating-expenses&ticker=GRCE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GRCE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();