GridAI Technologies (GRDX) Operating Expenses (2015 - 2026)
GridAI Technologies' Operating Expenses came in at $13.07 million for Q2 2026, compared with $638,864 a year earlier.
GridAI Technologies (GRDX) Operating Expenses (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, GridAI Technologies reported Operating Expenses of $18.67 million, up 309.9% year-over-year; for FY2025, it was $6.43 million, down 58.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -24.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $15.62 million in FY2024 (-0.9%), $15.77 million in FY2023 (+24.4%), $12.68 million in FY2022 (-78.5%) and $59.06 million in FY2021 (+123.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q3 2021.
- Year-over-year, Operating Expenses increased in 1 of the last six quarters, with an average decline of 17.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 719.0%), and the weakest in Q1 2025 (a decline of 91.0%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,132.10 Bn | 1,100.69 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 615.67 Bn | 534.20 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 504.61 Bn | 477.72 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 368.03 Bn | 322.41 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.24 Bn | 262.23 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.77 Bn | 235.46 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 190.62 Bn | 164.81 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | GridAI Technologies | 32.03 Mn | 27.23 Mn | -36,514.00 | 13.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.07 Mn |
| Dec 31, 2025 | 4.03 Mn |
| Sep 30, 2025 | 934,787.00 |
| Jun 30, 2025 | 638,864.00 |
| Mar 31, 2025 | 821,386.00 |
| Dec 31, 2024 | 1.20 Mn |
| Sep 30, 2024 | 1.89 Mn |
| Jun 30, 2024 | 3.43 Mn |
| Mar 31, 2024 | 9.10 Mn |
| Dec 31, 2023 | 4.09 Mn |
| Sep 30, 2023 | 3.43 Mn |
| Jun 30, 2023 | 4.18 Mn |
| Mar 31, 2023 | 4.06 Mn |
| Dec 31, 2022 | 2.28 Mn |
| Sep 30, 2022 | -4.39 Mn |
| Jun 30, 2022 | 5.41 Mn |
| Mar 31, 2022 | 9.38 Mn |
| Dec 31, 2021 | 11.17 Mn |
| Sep 30, 2021 | 30.40 Mn |
| Jun 30, 2021 | 9.28 Mn |
GridAI Technologies 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=GRDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GRDX", "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=GRDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();