Airgain (AIRG) Operating Expenses (2015 - 2026)
Airgain (AIRG) reported Operating Expenses of $7.47 million for Q2 2026, down 4.7% from $7.84 million a year earlier but up 5.5% from the prior quarter.
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Analysis
Airgain (AIRG) Operating Expenses (2015 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Airgain's Operating Expenses came in at $29.49 million, down 10.5% year-over-year; for FY2025, it came in at $31.03 million, down 8.0% from FY2024.
- Operating Expenses has a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $33.73 million in FY2024 (+1.7%), $33.16 million in FY2023 (-9.3%), $36.55 million in FY2022 (-0.5%) and $36.73 million in FY2021 (+42.5%).
- Five-year quarterly Operating Expenses spans a low of $7.08 million in Q3 2025 and a high of $9.58 million in Q1 2022.
- Year over year, Operating Expenses has now declined in each of the last five quarters, with an average decline of 4.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 37.9%); the low point was Q3 2023 (a decline of 17.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.09 million (Q1 2026), $7.86 million (Q4 2025) and $7.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn | 198.00 Mn |
| 10 | Airgain | 64.86 Mn | 35.67 Mn | 5.79 Mn | 7.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.47 Mn |
| Mar 31, 2026 | 7.09 Mn |
| Dec 31, 2025 | 7.86 Mn |
| Sep 30, 2025 | 7.08 Mn |
| Jun 30, 2025 | 7.84 Mn |
| Mar 31, 2025 | 8.26 Mn |
| Dec 31, 2024 | 8.34 Mn |
| Sep 30, 2024 | 8.53 Mn |
| Jun 30, 2024 | 8.65 Mn |
| Mar 31, 2024 | 8.21 Mn |
| Dec 31, 2023 | 8.42 Mn |
| Sep 30, 2023 | 7.15 Mn |
| Jun 30, 2023 | 8.49 Mn |
| Mar 31, 2023 | 9.11 Mn |
| Dec 31, 2022 | 9.15 Mn |
| Sep 30, 2022 | 8.71 Mn |
| Jun 30, 2022 | 9.11 Mn |
| Mar 31, 2022 | 9.58 Mn |
| Dec 31, 2021 | 9.33 Mn |
| Sep 30, 2021 | 8.59 Mn |
API Access
Airgain 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=AIRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AIRG", "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=AIRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();