Comtech Telecommunications (CMTL) Accumulated Expenses (2010 - 2026)
Comtech Telecommunications' Accumulated Expenses came in at $49.35 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 16.6% from $59.16 million a year earlier and down 2.7% from the prior quarter.
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Analysis
Comtech Telecommunications (CMTL) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Comtech Telecommunications' Accumulated Expenses was $58.42 million, down 6.1% from FY2024.
- Accumulated Expenses has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -7.3% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $62.25 million in FY2024 (-7.1%), $66.99 million in FY2023 (-7.8%), $72.66 million in FY2022 (-18.9%) and $89.6 million in FY2021 (+5.2%).
- The fiscal Q3 2026 figure represents the lowest quarterly Accumulated Expenses since fiscal Q2 2016.
- Year-over-year, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 6.0%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q2 2022 (growth of 22.4%), and the weakest in fiscal Q2 2023 (a decline of 29.1%).
- Business Quant data shows CMTL's Accumulated Expenses at $50.7 million (Q2 2026), $61.08 million (Q1 2026) and $58.42 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 49.35 Mn |
| Jan 31, 2026 | 50.70 Mn |
| Oct 31, 2025 | 61.08 Mn |
| Jul 31, 2025 | 58.42 Mn |
| Apr 30, 2025 | 59.16 Mn |
| Jan 31, 2025 | 53.47 Mn |
| Oct 31, 2024 | 56.38 Mn |
| Jul 31, 2024 | 62.25 Mn |
| Apr 30, 2024 | 64.87 Mn |
| Jan 31, 2024 | 59.69 Mn |
| Oct 31, 2023 | 57.68 Mn |
| Jul 31, 2023 | 66.99 Mn |
| Apr 30, 2023 | 64.94 Mn |
| Jan 31, 2023 | 68.66 Mn |
| Oct 31, 2022 | 75.44 Mn |
| Jul 31, 2022 | 72.66 Mn |
| Apr 30, 2022 | 84.16 Mn |
| Jan 31, 2022 | 96.90 Mn |
| Oct 31, 2021 | 87.99 Mn |
| Jul 31, 2021 | 89.60 Mn |
API Access
Comtech Telecommunications Accumulated 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=accumulated-expenses&ticker=CMTL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CMTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();