Telos (TLS) Depreciation & Amortization (CF) (2011 - 2026)
Telos' Depreciation & Amortization (CF) was $3.35 million in Q2 2026, up 33.4% from $2.51 million a year earlier but down 2.4% from the prior quarter.
Telos (TLS) Depreciation & Amortization (CF) (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Telos' Depreciation & Amortization (CF) was $13.38 million through Jun 30, 2026, up 32.6% year-over-year; for FY2025, it came in at $11.45 million, down 3.5% from FY2024.
- Depreciation & Amortization (CF) shows a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- In earlier years, Depreciation & Amortization (CF) was $11.87 million in FY2024 (+32.7%), $8.94 million in FY2023 (+51.8%), $5.89 million in FY2022 (+4.7%) and $5.62 million in FY2021 (+5.1%).
- Quarterly Depreciation & Amortization (CF) has moved between $1.4 million (Q4 2021) and $3.49 million (Q2 2024) over five years.
- Compared with a year earlier, Depreciation & Amortization (CF) has increased for four straight quarters, with growth averaging 7.5% over the last eight quarters.
- The best year-over-year quarter for Depreciation & Amortization (CF) over five years was Q1 2024 (growth of 119.6%); the worst was Q2 2025 (a decline of 28.1%).
- Per Business Quant data, TLS's Depreciation & Amortization (CF) in the three quarters before Q2 2026 was $3.43 million (Q1 2026), $3.43 million (Q4 2025) and $3.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 8.22 Mn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.20 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 367.31 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 966.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 407.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 147.20 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 12.36 Mn |
| 10 | Telos | 304.18 Mn | 91.07 Mn | 16.69 Mn | 3.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.35 Mn |
| Mar 31, 2026 | 3.43 Mn |
| Dec 31, 2025 | 3.43 Mn |
| Sep 30, 2025 | 3.18 Mn |
| Jun 30, 2025 | 2.51 Mn |
| Mar 31, 2025 | 2.34 Mn |
| Dec 31, 2024 | 2.50 Mn |
| Sep 30, 2024 | 2.75 Mn |
| Jun 30, 2024 | 3.49 Mn |
| Mar 31, 2024 | 3.13 Mn |
| Dec 31, 2023 | 2.96 Mn |
| Sep 30, 2023 | 2.87 Mn |
| Jun 30, 2023 | 1.70 Mn |
| Mar 31, 2023 | 1.43 Mn |
| Dec 31, 2022 | 1.46 Mn |
| Sep 30, 2022 | 1.52 Mn |
| Jun 30, 2022 | 1.51 Mn |
| Mar 31, 2022 | 1.41 Mn |
| Dec 31, 2021 | 1.40 Mn |
| Sep 30, 2021 | 1.46 Mn |
Telos Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=TLS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=TLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();