Guided Therapeutics (GTHP) Long-Term Debt Repayments (2010 - 2026)
Guided Therapeutics (GTHP) recorded Long-Term Debt Repayments of $128,000 in Q2 2026, up 80.3% from $71,000 a year earlier but down 41.0% from the prior quarter.
Guided Therapeutics (GTHP) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Guided Therapeutics' Long-Term Debt Repayments came in at $667,000 as of Jun 30, 2026, up 30.8% year-over-year; for FY2025, it was $540,000, up 13.2% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -13.3% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $477,000 in FY2024 (+15.8%), $412,000 in FY2023 (-23.7%), $540,000 in FY2022 (-63.2%) and $1.47 million in FY2021 (+33.3%).
- Quarterly Long-Term Debt Repayments has ranged from $41,000 in Q2 2023 to $332,000 in Q3 2022 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in five of the last eight quarters, with growth averaging 82.7%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 364.4% in Q4 2024, against a decline of 94.7% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $217,000 (Q1 2026), $197,000 (Q4 2025) and $125,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 7.00 Mn |
| 10 | Guided Therapeutics | 10,618.96 | -520,381.04 | - | 128,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128,000.00 |
| Mar 31, 2026 | 217,000.00 |
| Dec 31, 2025 | 197,000.00 |
| Sep 30, 2025 | 125,000.00 |
| Jun 30, 2025 | 71,000.00 |
| Mar 31, 2025 | 147,000.00 |
| Dec 31, 2024 | 209,000.00 |
| Sep 30, 2024 | 83,000.00 |
| Jun 30, 2024 | 139,000.00 |
| Mar 31, 2024 | 46,000.00 |
| Dec 31, 2023 | 45,000.00 |
| Sep 30, 2023 | 154,000.00 |
| Jun 30, 2023 | 41,000.00 |
| Mar 31, 2023 | 172,000.00 |
| Dec 31, 2022 | 75,000.00 |
| Sep 30, 2022 | 332,000.00 |
| Jun 30, 2022 | 43,000.00 |
| Mar 31, 2022 | 90,000.00 |
| Jun 30, 2021 | 811,000.00 |
| Mar 31, 2021 | 557,000.00 |
Guided Therapeutics Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GTHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "GTHP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=GTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();