Gelteq (GELS) Total Liabilities (2023 - 2025)
Gelteq (GELS) reported Total Liabilities of $3.89 million for the quarter ended Dec 31, 2025, down 5.9% from $4.13 million a year earlier.
Analysis
Gelteq (GELS) Total Liabilities (2023 - 2025) Analysis & Trends
As of Jun 30, 2025, Gelteq posted Total Liabilities of $3.63 million, down 2.4% from the prior year.
- By year, Total Liabilities came in at $3.72 million in the year ended Jun 30, 2024 (+45.1%) and $2.56 million in the year ended Jun 30, 2023.
- Five-year quarterly Total Liabilities spans a low of $2.56 million in the quarter ended Jun 30, 2023 and a high of $4.13 million in the quarter ended Dec 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Iqvia Holdings | 45.39 Bn | 36.65 Bn | 1.50 Bn | 23.68 Bn |
| 2 | Medpace Holdings | 18.59 Bn | 16.24 Bn | 223.89 Mn | 1.72 Bn |
| 3 | Charles River Laboratories International | 16.59 Bn | 15.79 Bn | 357.87 Mn | 4.22 Bn |
| 4 | Icon | 15.81 Bn | 12.58 Bn | 491.83 Mn | 7.12 Bn |
| 5 | Fortrea Holdings | 2.06 Bn | 1.35 Bn | 139.50 Mn | 2.21 Bn |
| 6 | Ginkgo Bioworks Holdings | 758.79 Mn | -3.29 Mn | 18.44 Mn | 569.76 Mn |
| 7 | Evotec SE | 603.77 Mn | -1.27 Bn | - | 1.06 Bn |
| 8 | Champions Oncology | 68.48 Mn | 44.13 Mn | 7.70 Mn | 28.83 Mn |
| 9 | MindWalk Holdings | 48.71 Mn | 12.36 Mn | 1.61 Mn | 7.43 Mn |
| 10 | Gelteq | 4.07 Mn | 1.92 Mn | - | 3.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.97 Mn |
| Jun 30, 2025 | 3.70 Mn |
| Dec 31, 2024 | 3.93 Mn |
| Jun 30, 2024 | 3.75 Mn |
| Jun 30, 2023 | 2.54 Mn |
API Access
Gelteq Total Liabilities 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=total-liabilities&ticker=GELS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "GELS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=GELS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();