Global Innovative Platforms (GIPL) Return on Assets [ROA] (2021 - 2026)
Global Innovative Platforms (GIPL) recorded Return on Assets [ROA] of -119.70% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 178.16 percentage points from -297.86% a year earlier and up 38.76 percentage points from the prior quarter.
Global Innovative Platforms (GIPL) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Global Innovative Platforms reported Return on Assets [ROA] of -720.81%, up 62626.63 percentage points from FY2024.
- Annual Return on Assets [ROA] has a three-year change of -496.67 percentage points (FY2022 to FY2025).
- Across earlier fiscal years, Return on Assets [ROA] came in at -63347.44% in FY2024 (-62173.37 pp), -1174.07% in FY2023 (-949.92 pp) and -224.14% in FY2022.
- The fiscal Q3 2026 figure is the highest quarterly Return on Assets [ROA] in data going back to fiscal Q4 2021.
- On a year-over-year basis, Return on Assets [ROA] rose in seven of the last eight quarters, with an average year-over-year change of +14313.00 percentage points.
- Peak year-over-year performance for Return on Assets [ROA] in the last five years was a gain of 70202.19 percentage points in fiscal Q4 2024, against a drop of 72658.85 percentage points in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -158.46% (Q2 2026), -305.13% (Q1 2026) and -351.71% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.47% |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 4.65% |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.45% |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 28.37% |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 9.10% |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 9.29% |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -6.13% |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 2.14% |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 16.34% |
| 10 | Global Innovative Platforms | 24.88 Mn | 24.27 Mn | - | -119.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -119.70% |
| Mar 31, 2026 | -158.46% |
| Dec 31, 2025 | -305.13% |
| Sep 30, 2025 | -351.71% |
| Jun 30, 2025 | -297.86% |
| Mar 31, 2025 | -224.90% |
| Dec 31, 2024 | -279.10% |
| Sep 30, 2024 | -2,680.80% |
| Jun 30, 2024 | -3,422.38% |
| Mar 31, 2024 | -15,791.85% |
| Dec 31, 2023 | -23,341.81% |
| Sep 30, 2023 | -72,882.99% |
| Jun 30, 2023 | -11,697.17% |
| Mar 31, 2023 | -588.59% |
| Dec 31, 2022 | -239.77% |
| Sep 30, 2022 | -224.14% |
| Jun 30, 2022 | -15,224.81% |
| Mar 31, 2022 | -15,458.40% |
| Dec 31, 2021 | -20,454.20% |
| Sep 30, 2021 | -781.08% |
Global Innovative Platforms Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GIPL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "ticker": "GIPL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-assets-%5Broa%5D&ticker=GIPL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();