Airgain (AIRG) Other Accumulated Expenses (2023 - 2026)
Airgain (AIRG) reported Other Accumulated Expenses of $569,000 for Q2 2026, down 4.4% from $595,000 a year earlier and down 10.8% from the prior quarter.
Airgain (AIRG) Other Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Airgain posted Other Accumulated Expenses of $554,000, down 59.0% from FY2024.
- By year, Other Accumulated Expenses came in at $1.35 million in FY2024 (+31.0%) and $1.03 million in FY2023.
- Five-year quarterly Other Accumulated Expenses spans a low of $468,000 in Q1 2025 and a high of $1.35 million in Q4 2024.
- Year over year, Other Accumulated Expenses gained in two of the last six quarters, with an average decline of 11.5%.
- Per Business Quant data, the three quarters before Q2 2026 came in at $638,000 (Q1 2026), $554,000 (Q4 2025) and $622,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,140.56 Bn | 4,886.02 Bn | 54.82 Bn |
| 2 | Cisco Systems | 387.37 Bn | 323.30 Bn | 11.06 Bn |
| 3 | Arista Networks | 235.59 Bn | 184.79 Bn | 2.33 Bn |
| 4 | Dell Technologies | 224.98 Bn | 180.74 Bn | 9.83 Bn |
| 5 | Sony | 160.60 Bn | 95.14 Bn | 7.96 Bn |
| 6 | Sandisk | 130.10 Bn | 114.92 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 114.41 Bn | 109.25 Bn | 2.43 Bn |
| 8 | Western Digital | 104.70 Bn | 94.53 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 64.46 Bn | 42.34 Bn | 4.93 Bn |
| 10 | Airgain | 52.65 Mn | 23.46 Mn | 5.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 569,000.00 |
| Mar 31, 2026 | 638,000.00 |
| Dec 31, 2025 | 554,000.00 |
| Sep 30, 2025 | 622,000.00 |
| Jun 30, 2025 | 595,000.00 |
| Mar 31, 2025 | 468,000.00 |
| Dec 31, 2024 | 1.35 Mn |
| Sep 30, 2024 | 824,000.00 |
| Jun 30, 2024 | 1.15 Mn |
| Dec 31, 2023 | 1.03 Mn |
Airgain Other 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=other-accumulated-expenses&ticker=AIRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=AIRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();