Comtech Telecommunications (CMTL) Inventory (2010 - 2026)
Comtech Telecommunications' Inventory came in at $61.83 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), down 20.4% from $77.69 million a year earlier and down 6.3% from the prior quarter.
Comtech Telecommunications (CMTL) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Comtech Telecommunications' Inventory was $68.96 million, down 26.0% from FY2024.
- Inventory carries a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- Going back by fiscal year, Inventory was $93.14 million in FY2024 (-12.0%), $105.85 million in FY2023 (+9.9%), $96.32 million in FY2022 (+19.9%) and $80.36 million in FY2021 (-2.4%).
- The fiscal Q3 2026 figure represents the lowest quarterly Inventory since fiscal Q4 2017.
- Year-over-year, Inventory has declined for 11 consecutive quarters, with an average decline of 15.4% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in fiscal Q4 2022 (growth of 19.9%), and the weakest in fiscal Q4 2025 (a decline of 26.0%).
- Business Quant data shows CMTL's Inventory at $66.01 million (Q2 2026), $67.85 million (Q1 2026) and $68.96 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 11.09 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 5.69 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 21.29 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 2.54 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 2.70 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 1.57 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 1.51 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 8.56 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 11.82 Bn |
| 10 | Comtech Telecommunications | 41.65 Mn | -103.33 Mn | 36.07 Mn | 61.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 61.83 Mn |
| Jan 31, 2026 | 66.01 Mn |
| Oct 31, 2025 | 67.85 Mn |
| Jul 31, 2025 | 68.96 Mn |
| Apr 30, 2025 | 77.69 Mn |
| Jan 31, 2025 | 81.40 Mn |
| Oct 31, 2024 | 81.80 Mn |
| Jul 31, 2024 | 93.14 Mn |
| Apr 30, 2024 | 96.12 Mn |
| Jan 31, 2024 | 85.79 Mn |
| Oct 31, 2023 | 85.44 Mn |
| Jul 31, 2023 | 105.85 Mn |
| Apr 30, 2023 | 107.31 Mn |
| Jan 31, 2023 | 100.13 Mn |
| Oct 31, 2022 | 99.75 Mn |
| Jul 31, 2022 | 96.32 Mn |
| Apr 30, 2022 | 95.24 Mn |
| Jan 31, 2022 | 90.27 Mn |
| Oct 31, 2021 | 87.70 Mn |
| Jul 31, 2021 | 80.36 Mn |
Comtech Telecommunications Inventory 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=inventory&ticker=CMTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=CMTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();