Airgain (AIRG) EV to CFO (2016 - 2023)
Airgain's (AIRG) EV to CFO came in at 28.37 for Q3 2023, down 72.1% from the prior quarter.
Analysis
Airgain (AIRG) EV to CFO (2016 - 2023) Analysis & Trends
For the trailing twelve months through Sep 30, 2023, EV to CFO at Airgain was -2.67; for FY2022, it was 12.30.
- In prior years, Airgain's EV to CFO was 36.66 in FY2020 (+26.5%), 28.97 in FY2019 (-3.1%) and 29.91 in FY2018.
- Quarterly EV to CFO has run from a low of 12.30 in Q4 2022 to a high of 277.70 in Q1 2021 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Airgain | 64.86 Mn | 35.67 Mn | 5.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 28.37 |
| Jun 30, 2023 | 101.76 |
| Dec 31, 2022 | 12.30 |
| Mar 31, 2021 | 277.70 |
| Dec 31, 2020 | 36.66 |
| Sep 30, 2020 | 18.58 |
| Jun 30, 2020 | 19.97 |
| Mar 31, 2020 | 16.28 |
| Dec 31, 2019 | 28.97 |
| Sep 30, 2019 | 22.92 |
| Jun 30, 2019 | 32.47 |
| Mar 31, 2019 | 39.13 |
| Dec 31, 2018 | 29.91 |
| Mar 31, 2018 | 38.72 |
| Sep 30, 2017 | 29.25 |
| Jun 30, 2017 | 50.97 |
| Mar 31, 2017 | 42.43 |
| Dec 31, 2016 | 0.73 |
| Sep 30, 2016 | 12.63 |
API Access
Airgain EV to CFO 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=ev-to-cfo&ticker=AIRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=AIRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();