Telos (TLS) Receivables (2010 - 2026)
Telos' Receivables was $23.25 million in Q2 2026, up 14.5% from $20.32 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Telos (TLS) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Telos came in at $23.96 million, down 2.5% from FY2024.
- Receivables has now declined for four consecutive years, with a five-year compound annual growth rate of -13.7% (FY2020 to FY2025).
- In earlier years, Receivables was $24.58 million in FY2024 (-36.1%), $38.45 million in FY2023 (-25.7%), $51.73 million in FY2022 (-23.3%) and $67.41 million in FY2021 (+34.6%).
- Quarterly Receivables has moved between $18.74 million (Q3 2024) and $90.31 million (Q1 2022) over five years.
- Compared with a year earlier, Receivables was higher in three of the last eight quarters, with an average decline of 2.8%.
- The best year-over-year quarter for Receivables over five years was Q3 2022 (growth of 62.9%); the worst was Q3 2023 (a decline of 58.8%).
- Per Business Quant data, TLS's Receivables in the three quarters before Q2 2026 was $22.43 million (Q1 2026), $23.96 million (Q4 2025) and $26.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.39 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 8.22 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 137.09 Mn |
| 10 | Telos | 303.43 Mn | 90.32 Mn | 16.69 Mn | 23.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.25 Mn |
| Mar 31, 2026 | 22.43 Mn |
| Dec 31, 2025 | 23.96 Mn |
| Sep 30, 2025 | 26.75 Mn |
| Jun 30, 2025 | 20.32 Mn |
| Mar 31, 2025 | 23.72 Mn |
| Dec 31, 2024 | 19.38 Mn |
| Sep 30, 2024 | 18.74 Mn |
| Jun 30, 2024 | 21.38 Mn |
| Mar 31, 2024 | 23.91 Mn |
| Dec 31, 2023 | 38.45 Mn |
| Sep 30, 2023 | 32.64 Mn |
| Jun 30, 2023 | 41.50 Mn |
| Mar 31, 2023 | 39.36 Mn |
| Dec 31, 2022 | 51.73 Mn |
| Sep 30, 2022 | 79.27 Mn |
| Jun 30, 2022 | 86.89 Mn |
| Mar 31, 2022 | 90.31 Mn |
| Dec 31, 2021 | 67.41 Mn |
| Sep 30, 2021 | 48.67 Mn |
API Access
Telos Receivables 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=receivables&ticker=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();