Kvh Industries Inc \De\ (KVHI) Cash & Equivalents (2010 - 2026)
Kvh Industries Inc \De\ (KVHI) recorded Cash & Equivalents of $57.72 million in Q2 2026, up 3.2% from $55.93 million a year earlier but down 2.4% from the prior quarter.
Kvh Industries Inc \De\ (KVHI) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Kvh Industries Inc \De\ reported Cash & Equivalents of $69.91 million, up 38.2% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 40.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $50.57 million in FY2024 (+347.8%), $11.29 million in FY2023 (-46.4%), $21.06 million in FY2022 (+85.1%) and $11.38 million in FY2021 (-9.6%).
- Quarterly Cash & Equivalents has ranged from $8.04 million in Q1 2022 to $72.8 million in Q3 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents has increased for eight consecutive quarters, with growth averaging 200.9% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 440.0% in Q2 2025, against a decline of 46.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $59.15 million (Q1 2026), $69.91 million (Q4 2025) and $72.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.79 Bn | 157.13 Bn | 27.05 Bn | 4.50 Bn |
| 2 | T-Mobile US | 173.48 Bn | 155.91 Bn | 15.13 Bn | 5.62 Bn |
| 3 | At&T | 147.74 Bn | 89.20 Bn | 26.22 Bn | 10.77 Bn |
| 4 | Grupo Televisa, S.A.B | 147.02 Bn | 147.02 Bn | 960.50 Mn | - |
| 5 | Comcast | 86.74 Bn | 52.53 Bn | - | 7.60 Bn |
| 6 | Chunghwa Telecom | 38.68 Bn | 30.69 Bn | 728.80 Mn | 1.32 Bn |
| 7 | Vodafone Group Public | 37.42 Bn | 6.82 Bn | - | 10.31 Bn |
| 8 | EchoStar | 27.50 Bn | 8.54 Bn | 647.20 Mn | 13.44 Bn |
| 9 | Bce | 20.09 Bn | 18.08 Bn | 2.79 Bn | 458.03 Mn |
| 10 | Kvh Industries Inc \De\ | 118.08 Mn | -119.39 Mn | 8.47 Mn | 50.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.70 Mn |
| Jun 30, 2026 | 57.72 Mn |
| Mar 31, 2026 | 59.15 Mn |
| Dec 31, 2025 | 69.91 Mn |
| Sep 30, 2025 | 72.80 Mn |
| Jun 30, 2025 | 55.93 Mn |
| Mar 31, 2025 | 48.60 Mn |
| Dec 31, 2024 | 50.57 Mn |
| Sep 30, 2024 | 14.40 Mn |
| Jun 30, 2024 | 10.36 Mn |
| Mar 31, 2024 | 11.44 Mn |
| Dec 31, 2023 | 11.29 Mn |
| Sep 30, 2023 | 11.48 Mn |
| Jun 30, 2023 | 14.01 Mn |
| Mar 31, 2023 | 12.38 Mn |
| Dec 31, 2022 | 21.06 Mn |
| Sep 30, 2022 | 14.40 Mn |
| Jun 30, 2022 | 10.40 Mn |
| Mar 31, 2022 | 8.04 Mn |
| Dec 31, 2021 | 11.38 Mn |
Kvh Industries Inc \De\ Cash & Equivalents 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=cash-and-equivalents&ticker=KVHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "KVHI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=KVHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();