RetinalGenix Technologies (RTGN) Total Non-Current Liabilities (2022 - 2026)
RetinalGenix Technologies' Total Non-Current Liabilities was $1.27 million in Q2 2026, up 16.9% from $1.09 million a year earlier and up 0.8% from the prior quarter.
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Analysis
RetinalGenix Technologies (RTGN) Total Non-Current Liabilities (2022 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at RetinalGenix Technologies came in at $1.83 million, up 81.7% from FY2024.
- Total Non-Current Liabilities shows a three-year compound annual growth rate of 24.1% (FY2022 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.01 million in FY2024 (+6.5%), $948,279 in FY2023 (-1.2%) and $960,172 in FY2022.
- Quarterly Total Non-Current Liabilities has moved between $459,804 (Q2 2022) and $1.83 million (Q4 2025) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for eight straight quarters, with growth averaging 24.5% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2023 (growth of 110.0%); the worst was Q1 2024 (a decline of 33.4%).
- Per Business Quant data, RTGN's Total Non-Current Liabilities in the three quarters before Q2 2026 was $1.26 million (Q1 2026), $1.83 million (Q4 2025) and $1.09 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | - |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | - |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 2.57 Bn |
| 10 | RetinalGenix Technologies | 75.19 Mn | 75.14 Mn | - | 1.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.27 Mn |
| Mar 31, 2026 | 1.26 Mn |
| Dec 31, 2025 | 1.83 Mn |
| Sep 30, 2025 | 1.09 Mn |
| Jun 30, 2025 | 1.09 Mn |
| Mar 31, 2025 | 996,119.00 |
| Dec 31, 2024 | 1.01 Mn |
| Sep 30, 2024 | 957,042.00 |
| Jun 30, 2024 | 925,281.00 |
| Mar 31, 2024 | 875,427.00 |
| Dec 31, 2023 | 948,279.00 |
| Sep 30, 2023 | 811,027.00 |
| Jun 30, 2023 | 965,774.00 |
| Mar 31, 2023 | 1.31 Mn |
| Dec 31, 2022 | 960,172.00 |
| Jun 30, 2022 | 459,804.00 |
API Access
RetinalGenix Technologies Total Non-Current 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-non-current-liabilities&ticker=RTGN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "RTGN", "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-non-current-liabilities&ticker=RTGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();