Comtech Telecommunications (CMTL) Total Liabilities (2009 - 2026)
Comtech Telecommunications (CMTL) posted Total Liabilities of $640.99 million for fiscal Q3 2026 (quarter ended Apr 30, 2026), up 0.8% from $635.71 million a year earlier and up 0.4% from the prior quarter.
Comtech Telecommunications (CMTL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Jul 31, 2025), Comtech Telecommunications' Total Liabilities came in at $636.41 million, up 30.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- In prior fiscal years, Comtech Telecommunications' Total Liabilities was $486.95 million in FY2024 (-12.7%), $557.94 million in FY2023 (+9.9%), $507.71 million in FY2022 (+3.1%) and $492.39 million in FY2021 (+29.5%).
- Quarterly Total Liabilities has run from a low of $486.95 million in fiscal Q4 2024 to a high of $648.53 million in fiscal Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 6.0%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q4 2025, with growth of 30.7%; the weakest was fiscal Q4 2024, with a decline of 12.7%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $638.22 million (Q2 2026), $648.53 million (Q1 2026) and $636.41 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Comtech Telecommunications | 41.65 Mn | -103.33 Mn | 36.07 Mn | 640.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 640.99 Mn |
| Jan 31, 2026 | 638.22 Mn |
| Oct 31, 2025 | 648.53 Mn |
| Jul 31, 2025 | 636.41 Mn |
| Apr 30, 2025 | 635.71 Mn |
| Jan 31, 2025 | 641.85 Mn |
| Oct 31, 2024 | 642.84 Mn |
| Jul 31, 2024 | 486.95 Mn |
| Apr 30, 2024 | 584.58 Mn |
| Jan 31, 2024 | 589.80 Mn |
| Oct 31, 2023 | 575.74 Mn |
| Jul 31, 2023 | 557.94 Mn |
| Apr 30, 2023 | 549.01 Mn |
| Jan 31, 2023 | 537.58 Mn |
| Oct 31, 2022 | 523.46 Mn |
| Jul 31, 2022 | 507.71 Mn |
| Apr 30, 2022 | 519.08 Mn |
| Jan 31, 2022 | 526.99 Mn |
| Oct 31, 2021 | 497.20 Mn |
| Jul 31, 2021 | 492.39 Mn |
Comtech Telecommunications Total Liabilities 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=total-liabilities&ticker=CMTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CMTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();