Airgain (AIRG) Accumulated Expenses (2015 - 2026)
Airgain (AIRG) posted Accumulated Expenses of $4.06 million for Q2 2026, up 37.4% from $2.96 million a year earlier and up 48.5% from the prior quarter.
Airgain (AIRG) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, Airgain's Accumulated Expenses came in at $1.79 million, down 4.4% from FY2024.
- Annual Accumulated Expenses has declined for four consecutive years, though with a five-year compound annual growth rate of 8.6% (FY2020 to FY2025).
- In prior years, Airgain's Accumulated Expenses was $1.87 million in FY2024 (-2.8%), $1.93 million in FY2023 (-26.3%), $2.62 million in FY2022 (-7.7%) and $2.83 million in FY2021 (+138.7%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses since Q2 2022.
- On a year-over-year basis, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 13.2%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2022, with growth of 144.2%; the weakest was Q1 2025, with a decline of 48.4%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $2.73 million (Q1 2026), $1.79 million (Q4 2025) and $2.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn |
| 10 | Airgain | 52.13 Mn | 22.95 Mn | 5.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.06 Mn |
| Mar 31, 2026 | 2.73 Mn |
| Dec 31, 2025 | 1.79 Mn |
| Sep 30, 2025 | 2.61 Mn |
| Jun 30, 2025 | 2.96 Mn |
| Mar 31, 2025 | 1.47 Mn |
| Dec 31, 2024 | 1.87 Mn |
| Sep 30, 2024 | 2.05 Mn |
| Jun 30, 2024 | 2.29 Mn |
| Mar 31, 2024 | 2.85 Mn |
| Dec 31, 2023 | 1.93 Mn |
| Sep 30, 2023 | 2.54 Mn |
| Jun 30, 2023 | 3.53 Mn |
| Mar 31, 2023 | 2.16 Mn |
| Dec 31, 2022 | 2.62 Mn |
| Sep 30, 2022 | 3.01 Mn |
| Jun 30, 2022 | 4.48 Mn |
| Mar 31, 2022 | 3.78 Mn |
| Dec 31, 2021 | 2.83 Mn |
| Sep 30, 2021 | 2.19 Mn |
Airgain Accumulated 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=accumulated-expenses&ticker=AIRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AIRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();