Telos (TLS) Long-Term Debt Repayments (2011 - 2026)
Telos (TLS) recorded Long-Term Debt Repayments of $501,000 in Q2 2026, up 8.4% from $462,000 a year earlier and up 2.0% from the prior quarter.
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Analysis
Telos (TLS) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
On a TTM basis, Telos' Long-Term Debt Repayments came in at $1.96 million as of Jun 30, 2026, up 8.5% year-over-year; for FY2025, it came in at $1.88 million, up 8.5% from FY2024.
- Annual Long-Term Debt Repayments has increased for four straight years, though with a five-year compound annual growth rate of -35.9% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $1.73 million in FY2024 (+8.7%), $1.59 million in FY2023 (+9.0%), $1.46 million in FY2022 (+9.1%) and $1.34 million in FY2021 (-92.3%).
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments since Q4 2020.
- On a year-over-year basis, Long-Term Debt Repayments has increased for 18 consecutive quarters, with growth averaging 8.6% over the last eight quarters.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 9.6% in Q3 2021, against a decline of 97.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $491,000 (Q1 2026), $484,000 (Q4 2025) and $479,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 469.01 Bn | 437.96 Bn | 1.64 Bn | - |
| 2 | Oracle | 370.41 Bn | 242.54 Bn | - | 4.20 Bn |
| 3 | Sap Se | 281.05 Bn | 208.83 Bn | 8.40 Bn | -1.86 Bn |
| 4 | Salesforce | 205.46 Bn | 161.33 Bn | 8.70 Bn | 176.00 Mn |
| 5 | ServiceNow | 161.21 Bn | 139.67 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 123.95 Bn | 106.08 Bn | 2.51 Bn | 300,000.00 |
| 7 | Intuit | 97.76 Bn | 77.11 Bn | 3.44 Bn | - |
| 8 | Relx | 74.61 Bn | 73.70 Bn | - | - |
| 9 | Thomson Reuters | 55.33 Bn | 52.12 Bn | - | 500.00 Mn |
| 10 | Telos | 342.27 Mn | 129.16 Mn | 16.69 Mn | 501,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 501,000.00 |
| Mar 31, 2026 | 491,000.00 |
| Dec 31, 2025 | 484,000.00 |
| Sep 30, 2025 | 479,000.00 |
| Jun 30, 2025 | 462,000.00 |
| Mar 31, 2025 | 452,000.00 |
| Dec 31, 2024 | 447,000.00 |
| Sep 30, 2024 | 441,000.00 |
| Jun 30, 2024 | 426,000.00 |
| Mar 31, 2024 | 416,000.00 |
| Dec 31, 2023 | 412,000.00 |
| Sep 30, 2023 | 405,000.00 |
| Jun 30, 2023 | 392,000.00 |
| Mar 31, 2023 | 383,000.00 |
| Dec 31, 2022 | 378,000.00 |
| Sep 30, 2022 | 373,000.00 |
| Jun 30, 2022 | 359,000.00 |
| Mar 31, 2022 | 351,000.00 |
| Dec 31, 2021 | 346,000.00 |
| Sep 30, 2021 | 343,000.00 |
API Access
Telos 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=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();