Mobix Labs (MOBX) Price to Sales (2023 - 2026)
Mobix Labs' (MOBX) Price to Sales was 5.71 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 68.1% from 3.40 a year earlier but down 9.9% from the prior quarter.
Mobix Labs (MOBX) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Price to Sales at Mobix Labs was 4.95, down 14.0% from FY2024.
- By fiscal year, Price to Sales came in at 5.75 in FY2024 and 363.91 in FY2023.
- Five-year quarterly Price to Sales spans a low of 1.95 in fiscal Q1 2026 and a high of 16.95 in fiscal Q2 2024.
- Year over year, Price to Sales gained in two of the last six quarters, with an average decline of 11.8%.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 6.34 (Q2 2026), 1.95 (Q1 2026) and 4.95 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn |
| 10 | Mobix Labs | 8.74 Mn | 493,336.69 | 102,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.71 |
| Mar 31, 2026 | 6.34 |
| Dec 31, 2025 | 1.95 |
| Sep 30, 2025 | 4.95 |
| Jun 30, 2025 | 3.70 |
| Mar 31, 2025 | 4.04 |
| Dec 31, 2024 | 9.81 |
| Jun 30, 2024 | 14.04 |
| Mar 31, 2024 | 36.56 |
| Dec 31, 2023 | 96.39 |
Mobix Labs Price to Sales 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=price-to-sales&ticker=MOBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=MOBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();