Airgain (AIRG) Return on Capital Employed [ROCE] (2016 - 2026)
Airgain (AIRG) posted Return on Capital Employed [ROCE] of -22.92% for Q2 2026, up 3.20 percentage points from -26.12% a year earlier but down 0.10 percentage points from the prior quarter.
Airgain (AIRG) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Airgain's Return on Capital Employed [ROCE] came in at -25.02%, up 3.03 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of -18.38 percentage points (FY2020 to FY2025).
- In prior years, Airgain's Return on Capital Employed [ROCE] was -28.04% in FY2024 (+4.31 pp), -32.36% in FY2023 (-14.29 pp), -18.07% in FY2022 (+11.67 pp) and -29.74% in FY2021 (-23.10 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -40.45% in Q3 2024 to a high of -17.09% in Q3 2021 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last seven quarters, with an average year-over-year change of +5.68 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q3 2025, with a gain of 16.58 percentage points; the weakest was Q1 2022, with a drop of 21.12 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -22.83% (Q1 2026), -26.13% (Q4 2025) and -23.86% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,134.24 Bn | 4,879.71 Bn | 54.82 Bn | 70.57% |
| 2 | Cisco Systems | 388.68 Bn | 324.61 Bn | 11.06 Bn | 17.86% |
| 3 | Arista Networks | 236.13 Bn | 185.33 Bn | 2.33 Bn | 29.33% |
| 4 | Dell Technologies | 227.43 Bn | 183.19 Bn | 9.83 Bn | 38.06% |
| 5 | Sony | 161.80 Bn | 96.34 Bn | 7.96 Bn | 16.11% |
| 6 | Sandisk | 132.37 Bn | 117.20 Bn | 9.38 Bn | 115.35% |
| 7 | Seagate Technology Holdings | 116.78 Bn | 111.62 Bn | 2.43 Bn | 76.09% |
| 8 | Western Digital | 106.78 Bn | 96.61 Bn | 2.53 Bn | 57.31% |
| 9 | Hewlett Packard Enterprise | 64.68 Bn | 42.55 Bn | 4.93 Bn | 5.09% |
| 10 | Airgain | 53.29 Mn | 24.10 Mn | 5.79 Mn | -22.92% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.92% |
| Mar 31, 2026 | -22.83% |
| Dec 31, 2025 | -26.13% |
| Sep 30, 2025 | -23.86% |
| Jun 30, 2025 | -26.12% |
| Mar 31, 2025 | -26.18% |
| Dec 31, 2024 | -27.60% |
| Sep 30, 2024 | -40.45% |
| Jun 30, 2024 | -38.79% |
| Mar 31, 2024 | -39.66% |
| Dec 31, 2023 | -36.18% |
| Sep 30, 2023 | -26.54% |
| Jun 30, 2023 | -24.62% |
| Mar 31, 2023 | -21.42% |
| Dec 31, 2022 | -19.75% |
| Sep 30, 2022 | -22.04% |
| Jun 30, 2022 | -23.92% |
| Mar 31, 2022 | -28.26% |
| Dec 31, 2021 | -25.31% |
| Sep 30, 2021 | -17.09% |
Airgain Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=AIRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=AIRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();