Comtech Telecommunications (CMTL) Other Operating Expenses (2009 - 2026)
Comtech Telecommunications' Other Operating Expenses came in at $4.64 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 20.7% from $5.85 million a year earlier and down 13.3% from the prior quarter.
Comtech Telecommunications (CMTL) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Apr 30, 2026, Comtech Telecommunications reported Other Operating Expenses of $21.87 million, down 87.4% year-over-year; for FY2025 (ended Jul 31, 2025), it came in at $106.08 million, up 18.1% from FY2024.
- Other Operating Expenses carries a three-year compound annual growth rate of 31.9% (FY2022 to FY2025).
- Going back by fiscal year, Other Operating Expenses was $89.79 million in FY2024 (+194.5%), $30.49 million in FY2023 (-34.0%) and $46.2 million in FY2022.
- The fiscal Q3 2026 figure represents the lowest quarterly Other Operating Expenses since fiscal Q2 2024.
- Year-over-year, Other Operating Expenses has declined for five consecutive quarters, with an average decline of 25.3% over the last six quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q2 2022 (growth of 483.7%), and the weakest in fiscal Q1 2026 (a decline of 93.4%).
- Business Quant data shows CMTL's Other Operating Expenses at $5.35 million (Q2 2026), $5.8 million (Q1 2026) and $6.09 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Comtech Telecommunications | 41.05 Mn | -103.93 Mn | 36.07 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 4.64 Mn |
| Jan 31, 2026 | 5.35 Mn |
| Oct 31, 2025 | 5.80 Mn |
| Jul 31, 2025 | 6.09 Mn |
| Apr 30, 2025 | 5.85 Mn |
| Jan 31, 2025 | 5.81 Mn |
| Oct 31, 2024 | 88.33 Mn |
| Jul 31, 2024 | 73.45 Mn |
| Apr 30, 2024 | 7.98 Mn |
| Jan 31, 2024 | 3.08 Mn |
| Oct 31, 2023 | 5.29 Mn |
| Jul 31, 2023 | 5.35 Mn |
| Apr 30, 2023 | 5.35 Mn |
| Jan 31, 2023 | 5.35 Mn |
| Oct 31, 2022 | 14.44 Mn |
| Jul 31, 2022 | 5.35 Mn |
| Apr 30, 2022 | 5.35 Mn |
| Jan 31, 2022 | 27.99 Mn |
| Oct 31, 2021 | 7.51 Mn |
| Jul 31, 2021 | 5.35 Mn |
Comtech Telecommunications Other 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=other-operating-expenses&ticker=CMTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=CMTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();