Mobix Labs (MOBX) Enterprise Value (2021 - 2026)
Mobix Labs (MOBX) posted Enterprise Value of $29.36 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 20.8% from $37.08 million a year earlier and down 30.6% from the prior quarter.
Mobix Labs (MOBX) Enterprise Value (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at Mobix Labs was $23.26 million, down 34.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $45.77 million, up 24.4% from FY2024.
- Annual Enterprise Value shows a four-year compound annual growth rate of -24.7% (FY2021 to FY2025).
- In prior fiscal years, Mobix Labs' Enterprise Value was $36.79 million in FY2024, $88.92 million in FY2023 (-29.3%), $125.75 million in FY2022 (-11.5%) and $142.01 million in FY2021.
- Quarterly Enterprise Value has run from a low of $16.57 million in fiscal Q1 2026 to a high of $145.54 million in fiscal Q3 2022 over five years.
- On a year-over-year basis, Enterprise Value increased in two of the last six quarters, with an average decline of 18.4%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was fiscal Q4 2025, with growth of 24.4%; the weakest was fiscal Q1 2026, with a decline of 74.5%.
- According to Business Quant data, Enterprise Value for the three prior fiscal quarters was $42.32 million (Q2 2026), $16.57 million (Q1 2026) and $45.77 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 311.31 Bn | 265.09 Bn | 4.68 Bn |
| 2 | Rtx | 258.54 Bn | 230.01 Bn | 5.13 Bn |
| 3 | Boeing | 150.32 Bn | 57.01 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 125.94 Bn | 112.67 Bn | 2.45 Bn |
| 5 | General Dynamics | 92.67 Bn | 79.78 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 84.23 Bn | 79.83 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 76.74 Bn | 73.08 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 75.68 Bn | 64.93 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.26 Bn | 19.39 Bn | 3.65 Bn |
| 10 | Mobix Labs | 9.61 Mn | 1.36 Mn | 102,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.36 Mn |
| Mar 31, 2026 | 42.32 Mn |
| Dec 31, 2025 | 16.57 Mn |
| Sep 30, 2025 | 45.77 Mn |
| Jun 30, 2025 | 37.08 Mn |
| Mar 31, 2025 | 35.15 Mn |
| Dec 31, 2024 | 64.92 Mn |
| Sep 30, 2024 | 36.79 Mn |
| Jun 30, 2024 | 49.90 Mn |
| Mar 31, 2024 | 53.38 Mn |
| Dec 31, 2023 | 88.92 Mn |
| Sep 30, 2023 | 191.72 Mn |
| Jun 30, 2023 | 168.57 Mn |
| Mar 31, 2023 | 154.17 Mn |
| Dec 31, 2022 | 125.75 Mn |
| Sep 30, 2022 | 145.54 Mn |
| Jun 30, 2022 | 144.15 Mn |
| Mar 31, 2022 | 143.15 Mn |
| Dec 31, 2021 | 142.01 Mn |
Mobix Labs Enterprise Value 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=enterprise-value&ticker=MOBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "ticker": "MOBX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=enterprise-value&ticker=MOBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();