GridAI Technologies (GRDX) Other Operating Expenses (2015 - 2026)
GridAI Technologies (GRDX) recorded Other Operating Expenses of $10.07 million in Q2 2026.
Analysis
GridAI Technologies (GRDX) Other Operating Expenses (2015 - 2026) Analysis & Trends
For FY2025, GridAI Technologies reported Other Operating Expenses of -$2,271.
- Across earlier years, Other Operating Expenses came in at -$8.09 million in FY2022.
- The Q2 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q3 2015.
Peer Set
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 | GridAI Technologies | 31.78 Mn | 26.97 Mn | -36,514.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.07 Mn |
| Dec 31, 2025 | -2,271.00 |
| Sep 30, 2022 | -8.09 Mn |
| Sep 30, 2020 | 211,430.00 |
| Jun 30, 2020 | 2.30 Mn |
| Mar 31, 2020 | 2.33 Mn |
| Dec 31, 2019 | 155,784.00 |
| Sep 30, 2019 | 110,398.00 |
| Jun 30, 2019 | 110,646.00 |
| Mar 31, 2019 | 57,111.00 |
| Dec 31, 2018 | 1,428.00 |
| Sep 30, 2018 | 5,629.00 |
| Jun 30, 2018 | 46,154.00 |
| Mar 31, 2018 | 48,635.00 |
| Dec 31, 2017 | 178,872.00 |
| Sep 30, 2017 | 408,106.00 |
| Jun 30, 2017 | 287,347.00 |
| Mar 31, 2017 | 874.00 |
| Dec 31, 2016 | 4.57 Mn |
| Sep 30, 2016 | 1.01 Mn |
API Access
GridAI Technologies Other 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=other-operating-expenses&ticker=GRDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GRDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();