Airgain (AIRG) Return on Sales [ROS] (2015 - 2026)
Airgain (AIRG) posted Return on Sales [ROS] of -12.30% for Q2 2026, up 2.38 percentage points from -14.68% a year earlier and up 6.06 percentage points from the prior quarter.
Airgain (AIRG) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Airgain was -13.99%, up 1.65 percentage points year-over-year; for FY2025, it came in at -16.38%, down 1.65 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -9.82 percentage points (FY2020 to FY2025).
- In prior years, Airgain's Return on Sales [ROS] was -14.73% in FY2024 (+7.39 pp), -22.13% in FY2023 (-10.82 pp), -11.31% in FY2022 (+7.56 pp) and -18.86% in FY2021 (-12.30 pp).
- Quarterly Return on Sales [ROS] has run from a low of -54.50% in Q4 2023 to a high of -6.58% in Q3 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +5.74 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 41.37 percentage points; the weakest was Q4 2023, with a drop of 38.02 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -18.36% (Q1 2026), -19.96% (Q4 2025) and -6.90% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 31.13% |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 24.72% |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 44.90% |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 11.46% |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 18.15% |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 79.59% |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 48.76% |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 46.70% |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 11.41% |
| 10 | Airgain | 52.13 Mn | 22.95 Mn | 5.79 Mn | -12.30% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.30% |
| Mar 31, 2026 | -18.36% |
| Dec 31, 2025 | -19.96% |
| Sep 30, 2025 | -6.90% |
| Jun 30, 2025 | -14.68% |
| Mar 31, 2025 | -25.77% |
| Dec 31, 2024 | -13.13% |
| Sep 30, 2024 | -11.27% |
| Jun 30, 2024 | -16.50% |
| Mar 31, 2024 | -18.47% |
| Dec 31, 2023 | -54.50% |
| Sep 30, 2023 | -13.95% |
| Jun 30, 2023 | -13.97% |
| Mar 31, 2023 | -16.97% |
| Dec 31, 2022 | -16.48% |
| Sep 30, 2022 | -6.58% |
| Jun 30, 2022 | -8.36% |
| Mar 31, 2022 | -13.85% |
| Dec 31, 2021 | -31.55% |
| Sep 30, 2021 | -19.71% |
Airgain Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AIRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AIRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();