Telos (TLS) Operating Expenses (2010 - 2026)
Telos' Operating Expenses came in at $16.38 million for Q2 2026, down 24.9% from $21.82 million a year earlier but up 2.9% from the prior quarter.
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Analysis
Telos (TLS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Telos reported Operating Expenses of $90.18 million, down 5.6% year-over-year; for FY2025, it was $100.9 million, up 11.7% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $90.3 million in FY2024 (-3.2%), $93.26 million in FY2023 (-37.8%), $149.81 million in FY2022 (+2.2%) and $146.59 million in FY2021 (+92.0%).
- The five-year range for quarterly Operating Expenses is $15.92 million (Q1 2026) to $40.67 million (Q1 2022).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 6.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2021 (growth of 122.6%), and the weakest in Q2 2023 (a decline of 44.7%).
- Business Quant data shows TLS's Operating Expenses at $15.92 million (Q1 2026), $34.87 million (Q4 2025) and $23.01 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Telos | 303.43 Mn | 90.32 Mn | 16.69 Mn | 16.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.38 Mn |
| Mar 31, 2026 | 15.92 Mn |
| Dec 31, 2025 | 34.87 Mn |
| Sep 30, 2025 | 23.01 Mn |
| Jun 30, 2025 | 21.82 Mn |
| Mar 31, 2025 | 21.20 Mn |
| Dec 31, 2024 | 20.55 Mn |
| Sep 30, 2024 | 32.01 Mn |
| Jun 30, 2024 | 18.35 Mn |
| Mar 31, 2024 | 19.40 Mn |
| Dec 31, 2023 | 22.27 Mn |
| Sep 30, 2023 | 22.71 Mn |
| Jun 30, 2023 | 21.83 Mn |
| Mar 31, 2023 | 26.45 Mn |
| Dec 31, 2022 | 35.98 Mn |
| Sep 30, 2022 | 33.71 Mn |
| Jun 30, 2022 | 39.45 Mn |
| Mar 31, 2022 | 40.67 Mn |
| Dec 31, 2021 | 34.41 Mn |
| Sep 30, 2021 | 34.83 Mn |
API Access
Telos Operating 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=operating-expenses&ticker=TLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();