Telos (TLS) Total Liabilities (2010 - 2026)
Telos (TLS) reported Total Liabilities of $46.34 million for Q2 2026, down 0.6% from $46.63 million a year earlier but up 6.9% from the prior quarter.
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Analysis
Telos (TLS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Telos posted Total Liabilities of $43.91 million, up 41.2% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $31.1 million in FY2024 (-37.4%), $49.7 million in FY2023 (-23.6%), $65.04 million in FY2022 (-1.2%) and $65.83 million in FY2021 (+16.1%).
- Five-year quarterly Total Liabilities spans a low of $31.1 million in Q4 2024 and a high of $70.37 million in Q3 2022.
- Year over year, Total Liabilities gained in four of the last eight quarters, with growth averaging 8.6%.
- The high point for year-over-year Total Liabilities in five years was Q4 2025 (growth of 41.2%); the low point was Q3 2021 (a decline of 68.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $43.36 million (Q1 2026), $43.91 million (Q4 2025) and $44.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Telos | 303.43 Mn | 90.32 Mn | 16.69 Mn | 46.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.34 Mn |
| Mar 31, 2026 | 43.36 Mn |
| Dec 31, 2025 | 43.91 Mn |
| Sep 30, 2025 | 44.61 Mn |
| Jun 30, 2025 | 46.63 Mn |
| Mar 31, 2025 | 31.95 Mn |
| Dec 31, 2024 | 31.10 Mn |
| Sep 30, 2024 | 36.85 Mn |
| Jun 30, 2024 | 33.23 Mn |
| Mar 31, 2024 | 40.96 Mn |
| Dec 31, 2023 | 49.70 Mn |
| Sep 30, 2023 | 40.72 Mn |
| Jun 30, 2023 | 49.32 Mn |
| Mar 31, 2023 | 50.76 Mn |
| Dec 31, 2022 | 65.04 Mn |
| Sep 30, 2022 | 70.37 Mn |
| Jun 30, 2022 | 67.65 Mn |
| Mar 31, 2022 | 68.96 Mn |
| Dec 31, 2021 | 65.83 Mn |
| Sep 30, 2021 | 70.28 Mn |
API Access
Telos Total 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-liabilities&ticker=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();