Telos (TLS) Non Operating Interest Expenses (2009 - 2026)
Telos (TLS) posted Non Operating Interest Expenses of $107,000 for Q2 2026, down 24.1% from $141,000 a year earlier and down 3.6% from the prior quarter.
Telos (TLS) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Telos was $483,000, down 19.1% year-over-year; for FY2025, it came in at $553,000, down 14.1% from FY2024.
- Annual Non Operating Interest Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -40.2% (FY2020 to FY2025).
- In prior years, Telos' Non Operating Interest Expenses was $644,000 in FY2024 (-18.1%), $786,000 in FY2023 (-10.1%), $874,000 in FY2022 (+12.5%) and $777,000 in FY2021 (-89.3%).
- The Q2 2026 figure stands as the lowest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Non Operating Interest Expenses has declined in each of the last 13 quarters, with an average decline of 16.2% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2022, with growth of 62.9%; the weakest was Q3 2021, with a decline of 90.3%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $111,000 (Q1 2026), $129,000 (Q4 2025) and $136,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 406.71 Bn | 371.66 Bn | 1.93 Bn | - |
| 2 | Oracle | 356.71 Bn | 229.27 Bn | 18.57 Bn | 1.43 Bn |
| 3 | Sap Se | 287.26 Bn | 215.24 Bn | 8.64 Bn | -330.17 Mn |
| 4 | Salesforce | 175.69 Bn | 131.56 Bn | 8.70 Bn | 473.00 Mn |
| 5 | Automatic Data Processing | 120.83 Bn | 107.63 Bn | 2.53 Bn | 148.10 Mn |
| 6 | ServiceNow | 103.38 Bn | 82.65 Bn | 2.90 Bn | 81.00 Mn |
| 7 | Intuit | 91.37 Bn | 70.72 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 72.62 Bn | 72.62 Bn | - | - |
| 9 | Strategy | 48.71 Bn | 35.85 Bn | 89.63 Mn | 15.38 Mn |
| 10 | Telos | 563.84 Mn | 358.03 Mn | 20.94 Mn | 100,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 100,000.00 |
| Jun 30, 2026 | 107,000.00 |
| Mar 31, 2026 | 111,000.00 |
| Dec 31, 2025 | 129,000.00 |
| Sep 30, 2025 | 136,000.00 |
| Jun 30, 2025 | 141,000.00 |
| Mar 31, 2025 | 147,000.00 |
| Dec 31, 2024 | 152,000.00 |
| Sep 30, 2024 | 157,000.00 |
| Jun 30, 2024 | 160,000.00 |
| Mar 31, 2024 | 175,000.00 |
| Dec 31, 2023 | 175,000.00 |
| Sep 30, 2023 | 178,000.00 |
| Jun 30, 2023 | 184,000.00 |
| Mar 31, 2023 | 249,000.00 |
| Dec 31, 2022 | 316,000.00 |
| Sep 30, 2022 | 181,000.00 |
| Jun 30, 2022 | 187,000.00 |
| Mar 31, 2022 | 190,000.00 |
| Dec 31, 2021 | 194,000.00 |
Telos 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=TLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "TLS", "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=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();