GridAI Technologies (GRDX) Receivables - Net (2015 - 2026)
GridAI Technologies (GRDX) posted Receivables - Net of $79,578 for Q2 2026.
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Analysis
GridAI Technologies (GRDX) Receivables - Net (2015 - 2026) Analysis & Trends
At the end of FY2025, GridAI Technologies' Receivables - Net came in at $29,974.
- Annual Receivables - Net shows a five-year compound annual growth rate of -44.1% (FY2020 to FY2025).
- In prior years, GridAI Technologies' Receivables - Net was $93,014 in FY2022.
- The Q2 2026 figure stands as the highest quarterly Receivables - Net since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.13 Bn | 1,102.72 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 616.20 Bn | 534.73 Bn | 17.26 Bn |
| 3 | AbbVie | 501.09 Bn | 474.20 Bn | 12.70 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.88 Bn | 261.87 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.36 Bn | 235.05 Bn | 12.86 Bn |
| 7 | Amgen | 235.80 Bn | 191.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.78 Bn | 164.97 Bn | 6.22 Bn |
| 9 | Pfizer | 169.43 Bn | 116.08 Bn | 10.94 Bn |
| 10 | GridAI Technologies | 31.20 Mn | 26.40 Mn | -36,514.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79,578.00 |
| Dec 31, 2025 | 29,974.00 |
| Sep 30, 2025 | 37,490.00 |
| Mar 31, 2023 | 20,000.00 |
| Dec 31, 2022 | 93,014.00 |
| Sep 30, 2022 | 191,984.00 |
| Jun 30, 2022 | 70,429.00 |
| Mar 31, 2022 | 28,055.00 |
| Mar 31, 2021 | 501,660.00 |
| Dec 31, 2020 | 551,489.00 |
| Sep 30, 2020 | 20,688.00 |
| Jun 30, 2020 | 102,601.00 |
| Mar 31, 2020 | 760,232.00 |
| Dec 31, 2019 | 2.64 Mn |
| Sep 30, 2019 | 2.09 Mn |
| Jun 30, 2019 | 2.12 Mn |
| Mar 31, 2019 | 2.05 Mn |
| Dec 31, 2018 | 3.17 Mn |
| Sep 30, 2018 | 1.20 Mn |
| Jun 30, 2018 | 1.08 Mn |
API Access
GridAI Technologies Receivables - Net 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=receivables-net&ticker=GRDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=GRDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();