Telos (TLS) Accumulated Expenses (2011 - 2026)
Telos (TLS) reported Accumulated Expenses of $5.67 million for Q2 2026, up 414.3% from $1.1 million a year earlier but down 14.2% from the prior quarter.
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Analysis
Telos (TLS) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Telos posted Accumulated Expenses of $6.9 million, up 55.1% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 2.0% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $4.45 million in FY2024 (-18.3%), $5.44 million in FY2023 (-45.3%), $9.95 million in FY2022 (-60.7%) and $25.3 million in FY2021 (+305.6%).
- Five-year quarterly Accumulated Expenses spans a low of $1.1 million in Q2 2025 and a high of $25.3 million in Q4 2021.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 58.7% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2022 (growth of 465.9%); the low point was Q3 2023 (a decline of 76.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.61 million (Q1 2026), $6.9 million (Q4 2025) and $7.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Telos | 304.18 Mn | 91.07 Mn | 16.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.67 Mn |
| Mar 31, 2026 | 6.61 Mn |
| Dec 31, 2025 | 6.90 Mn |
| Sep 30, 2025 | 7.14 Mn |
| Jun 30, 2025 | 1.10 Mn |
| Mar 31, 2025 | 4.77 Mn |
| Dec 31, 2024 | 4.45 Mn |
| Sep 30, 2024 | 3.49 Mn |
| Jun 30, 2024 | 3.36 Mn |
| Mar 31, 2024 | 6.96 Mn |
| Dec 31, 2023 | 5.44 Mn |
| Sep 30, 2023 | 4.70 Mn |
| Jun 30, 2023 | 4.52 Mn |
| Mar 31, 2023 | 6.33 Mn |
| Dec 31, 2022 | 9.95 Mn |
| Sep 30, 2022 | 19.87 Mn |
| Jun 30, 2022 | 18.11 Mn |
| Dec 31, 2021 | 25.30 Mn |
| Jun 30, 2021 | 3.20 Mn |
| Mar 31, 2021 | 22.00 Mn |
API Access
Telos Accumulated 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=accumulated-expenses&ticker=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();