Inseego (INSG) Operating Expenses (2010 - 2026)
Inseego (INSG) posted Operating Expenses of $22.08 million for Q2 2026, up 44.9% from $15.24 million a year earlier and up 9.5% from the prior quarter.
Inseego (INSG) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Inseego was $78.28 million, up 21.2% year-over-year; for FY2025, it was $66.68 million, down 0.6% from FY2024.
- Annual Operating Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -10.5% (FY2020 to FY2025).
- In prior years, Inseego's Operating Expenses was $67.08 million in FY2024 (-6.5%), $71.73 million in FY2023 (-42.5%), $124.83 million in FY2022 (+1.9%) and $122.45 million in FY2021 (+5.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q2 2023.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 9.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 44.9%; the weakest was Q3 2023, with a decline of 43.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $20.16 million (Q1 2026), $19.11 million (Q4 2025) and $16.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Inseego | 59.21 Mn | -1.41 Mn | 14.85 Mn | 22.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.08 Mn |
| Mar 31, 2026 | 20.16 Mn |
| Dec 31, 2025 | 19.11 Mn |
| Sep 30, 2025 | 16.93 Mn |
| Jun 30, 2025 | 15.24 Mn |
| Mar 31, 2025 | 15.41 Mn |
| Dec 31, 2024 | 16.15 Mn |
| Sep 30, 2024 | 17.78 Mn |
| Jun 30, 2024 | 16.96 Mn |
| Mar 31, 2024 | 16.19 Mn |
| Dec 31, 2023 | 17.10 Mn |
| Sep 30, 2023 | 16.98 Mn |
| Jun 30, 2023 | 22.17 Mn |
| Mar 31, 2023 | 21.78 Mn |
| Dec 31, 2022 | 30.02 Mn |
| Sep 30, 2022 | 29.87 Mn |
| Jun 30, 2022 | 27.93 Mn |
| Mar 31, 2022 | 37.02 Mn |
| Dec 31, 2021 | 27.99 Mn |
| Sep 30, 2021 | 28.92 Mn |
Inseego Operating 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=operating-expenses&ticker=INSG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INSG", "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-expenses&ticker=INSG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();