Guided Therapeutics (GTHP) Non Operating Interest Expenses (2010 - 2026)
Guided Therapeutics' Non Operating Interest Expenses came in at $136,000 for Q2 2026, down 13.4% from $157,000 a year earlier and down 9.9% from the prior quarter.
Guided Therapeutics (GTHP) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Guided Therapeutics reported Non Operating Interest Expenses of $600,000, up 9.9% year-over-year; for FY2025, it was $617,000, up 61.9% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -10.2% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $381,000 in FY2024 (+37.1%), $278,000 in FY2023 (-52.2%), $582,000 in FY2022 (-49.4%) and $1.15 million in FY2021 (+8.9%).
- The five-year range for quarterly Non Operating Interest Expenses is $64,000 (Q1 2024) to $594,000 (Q3 2021).
- Year-over-year, Non Operating Interest Expenses increased in seven of the last eight quarters, with growth averaging 52.9%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2025 (growth of 129.7%), and the weakest in Q3 2022 (a decline of 73.9%).
- Business Quant data shows GTHP's Non Operating Interest Expenses at $151,000 (Q1 2026), $184,000 (Q4 2025) and $129,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Guided Therapeutics | 24.13 Mn | 23.60 Mn | - | 136,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136,000.00 |
| Mar 31, 2026 | 151,000.00 |
| Dec 31, 2025 | 184,000.00 |
| Sep 30, 2025 | 129,000.00 |
| Jun 30, 2025 | 157,000.00 |
| Mar 31, 2025 | 147,000.00 |
| Dec 31, 2024 | 134,000.00 |
| Sep 30, 2024 | 108,000.00 |
| Jun 30, 2024 | 75,000.00 |
| Mar 31, 2024 | 64,000.00 |
| Dec 31, 2023 | 72,000.00 |
| Sep 30, 2023 | 71,000.00 |
| Jun 30, 2023 | 69,000.00 |
| Mar 31, 2023 | 66,000.00 |
| Dec 31, 2022 | 70,000.00 |
| Sep 30, 2022 | 155,000.00 |
| Jun 30, 2022 | 256,000.00 |
| Mar 31, 2022 | 101,000.00 |
| Dec 31, 2021 | 100,000.00 |
| Sep 30, 2021 | 594,000.00 |
Guided Therapeutics Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=GTHP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=GTHP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();