Comtech Telecommunications (CMTL) Operating Leases (2019 - 2026)
Comtech Telecommunications (CMTL) reported Operating Leases of $29.88 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 1.0% from $29.58 million a year earlier but down 4.1% from the prior quarter.
Comtech Telecommunications (CMTL) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Comtech Telecommunications posted Operating Leases of $29.38 million, down 2.9% from FY2024.
- Operating Leases has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- By fiscal year, Operating Leases came in at $30.26 million in FY2024 (-27.5%), $41.76 million in FY2023 (-6.0%), $44.42 million in FY2022 (+12.3%) and $39.57 million in FY2021 (+64.1%).
- Five-year quarterly Operating Leases spans a low of $28.67 million in fiscal Q2 2025 and a high of $48.89 million in fiscal Q2 2022.
- Year over year, Operating Leases has now increased in each of the last three quarters, with an average decline of 6.1% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was fiscal Q1 2022 (growth of 93.8%); the low point was fiscal Q4 2024 (a decline of 27.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $31.16 million (Q2 2026), $30.98 million (Q1 2026) and $29.38 million (Q4 2025).
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 | 29.88 Mn |
| Jan 31, 2026 | 31.16 Mn |
| Oct 31, 2025 | 30.98 Mn |
| Jul 31, 2025 | 29.38 Mn |
| Apr 30, 2025 | 29.58 Mn |
| Jan 31, 2025 | 28.67 Mn |
| Oct 31, 2024 | 28.73 Mn |
| Jul 31, 2024 | 30.26 Mn |
| Apr 30, 2024 | 31.25 Mn |
| Jan 31, 2024 | 33.06 Mn |
| Oct 31, 2023 | 34.63 Mn |
| Jul 31, 2023 | 41.76 Mn |
| Apr 30, 2023 | 43.07 Mn |
| Jan 31, 2023 | 42.92 Mn |
| Oct 31, 2022 | 44.43 Mn |
| Jul 31, 2022 | 44.42 Mn |
| Apr 30, 2022 | 46.54 Mn |
| Jan 31, 2022 | 48.89 Mn |
| Oct 31, 2021 | 43.72 Mn |
| Jul 31, 2021 | 39.57 Mn |
Comtech Telecommunications Operating Leases 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-leases&ticker=CMTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=CMTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();