GridAI Technologies (GRDX) Receivables (2015 - 2026)
GridAI Technologies (GRDX) recorded Receivables of $451,385 in Q2 2026.
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Analysis
GridAI Technologies (GRDX) Receivables (2015 - 2026) Analysis & Trends
At the end of FY2025, GridAI Technologies reported Receivables of $1.34 million.
- Annual Receivables has a five-year compound annual growth rate of 17.1% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $93,014 in FY2022.
- Quarterly Receivables has ranged from $20,000 in Q1 2023 to $1.34 million in Q4 2025 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.13 Bn | 1,102.72 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 616.20 Bn | 534.73 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 501.09 Bn | 474.20 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 367.41 Bn | 321.79 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 297.88 Bn | 261.87 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.36 Bn | 235.05 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 235.80 Bn | 191.20 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 190.78 Bn | 164.97 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 169.43 Bn | 116.08 Bn | 10.94 Bn | 12.49 Bn |
| 10 | GridAI Technologies | 31.20 Mn | 26.40 Mn | -36,514.00 | 451,385.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 451,385.00 |
| Dec 31, 2025 | 1.34 Mn |
| 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 | 560,690.00 |
| Dec 31, 2020 | 609,072.00 |
| Sep 30, 2020 | 430,714.00 |
| Jun 30, 2020 | 496,236.00 |
| Mar 31, 2020 | 1.15 Mn |
| Dec 31, 2019 | 3.03 Mn |
| Sep 30, 2019 | 2.53 Mn |
| Jun 30, 2019 | 2.58 Mn |
| Mar 31, 2019 | 2.50 Mn |
| Dec 31, 2018 | 4.18 Mn |
| Sep 30, 2018 | 1.47 Mn |
| Jun 30, 2018 | 1.23 Mn |
API Access
GridAI Technologies Receivables 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&ticker=GRDX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=GRDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();