Comtech Telecommunications (CMTL) Enterprise Value (2009 - 2026)
Comtech Telecommunications' Enterprise Value came in at $76.97 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 550.2% from $11.84 million a year earlier but down 41.8% from the prior quarter.
Comtech Telecommunications (CMTL) Enterprise Value (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Apr 30, 2026, Comtech Telecommunications reported Enterprise Value of -$39.51 million; for FY2025 (ended Jul 31, 2025), it came in at $24.24 million, down 60.3% from FY2024.
- Enterprise Value has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -41.8% (FY2020 to FY2025).
- Going back by fiscal year, Enterprise Value was $61.1 million in FY2024 (-77.1%), $266.81 million in FY2023 (-11.0%), $299.95 million in FY2022 (-52.1%) and $626.74 million in FY2021 (+72.9%).
- The five-year range for quarterly Enterprise Value is $11.84 million (fiscal Q3 2025) to $626.74 million (fiscal Q4 2021).
- Year-over-year, Enterprise Value increased in two of the last eight quarters, with growth averaging 58.6%.
- The fastest year-over-year change in Enterprise Value over five years came in fiscal Q3 2026 (growth of 550.2%), and the weakest in fiscal Q3 2024 (a decline of 90.1%).
- Business Quant data shows CMTL's Enterprise Value at $132.19 million (Q2 2026), $40.51 million (Q1 2026) and $24.24 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Comtech Telecommunications | 41.65 Mn | -103.33 Mn | 36.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 76.97 Mn |
| Jan 31, 2026 | 132.19 Mn |
| Oct 31, 2025 | 40.51 Mn |
| Jul 31, 2025 | 24.24 Mn |
| Apr 30, 2025 | 11.84 Mn |
| Jan 31, 2025 | 32.03 Mn |
| Oct 31, 2024 | 78.87 Mn |
| Jul 31, 2024 | 61.10 Mn |
| Apr 30, 2024 | 26.38 Mn |
| Jan 31, 2024 | 140.28 Mn |
| Oct 31, 2023 | 329.33 Mn |
| Jul 31, 2023 | 266.81 Mn |
| Apr 30, 2023 | 267.20 Mn |
| Jan 31, 2023 | 420.42 Mn |
| Oct 31, 2022 | 285.39 Mn |
| Jul 31, 2022 | 299.95 Mn |
| Apr 30, 2022 | 327.94 Mn |
| Jan 31, 2022 | 508.15 Mn |
| Oct 31, 2021 | 537.39 Mn |
| Jul 31, 2021 | 626.74 Mn |
Comtech Telecommunications Enterprise Value 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=enterprise-value&ticker=CMTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "CMTL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=CMTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();