Comtech Telecommunications (CMTL) Operating Expenses (2009 - 2026)
Comtech Telecommunications' Operating Expenses was $39.19 million in fiscal Q3 2026 (quarter ended Apr 30, 2026), down 3.2% from $40.48 million a year earlier but up 4.6% from the prior quarter.
Comtech Telecommunications (CMTL) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Comtech Telecommunications' Operating Expenses was $154.98 million through Apr 30, 2026, down 54.0% year-over-year; for FY2025 (ended Jul 31, 2025), it was $266.97 million, up 12.6% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $237.07 million in FY2024 (+19.1%), $199.12 million in FY2023 (-6.8%), $213.59 million in FY2022 (-24.3%) and $282.26 million in FY2021 (+33.4%).
- Quarterly Operating Expenses has moved between $37.46 million (fiscal Q2 2026) and $143.69 million (fiscal Q1 2025) over five years.
- Compared with a year earlier, Operating Expenses has declined for five straight quarters, with growth averaging 24.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q1 2025 (growth of 213.8%); the worst was fiscal Q1 2026 (a decline of 72.5%).
- Per Business Quant data, CMTL's Operating Expenses in the three fiscal quarters before Q3 2026 was $37.46 million (Q2 2026), $39.52 million (Q1 2026) and $38.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Comtech Telecommunications | 41.65 Mn | -103.33 Mn | 36.07 Mn | 39.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 39.19 Mn |
| Jan 31, 2026 | 37.46 Mn |
| Oct 31, 2025 | 39.52 Mn |
| Jul 31, 2025 | 38.81 Mn |
| Apr 30, 2025 | 40.48 Mn |
| Jan 31, 2025 | 44.00 Mn |
| Oct 31, 2024 | 143.69 Mn |
| Jul 31, 2024 | 108.62 Mn |
| Apr 30, 2024 | 42.42 Mn |
| Jan 31, 2024 | 40.23 Mn |
| Oct 31, 2023 | 45.80 Mn |
| Jul 31, 2023 | 47.47 Mn |
| Apr 30, 2023 | 48.42 Mn |
| Jan 31, 2023 | 46.71 Mn |
| Oct 31, 2022 | 56.53 Mn |
| Jul 31, 2022 | 47.66 Mn |
| Apr 30, 2022 | 47.23 Mn |
| Jan 31, 2022 | 70.45 Mn |
| Oct 31, 2021 | 48.25 Mn |
| Jul 31, 2021 | 45.39 Mn |
Comtech Telecommunications 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=CMTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CMTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();