Mobix Labs (MOBX) Total Liabilities (2021 - 2026)
Mobix Labs' Total Liabilities was $28.69 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 16.0% from $34.13 million a year earlier but up 10.3% from the prior quarter.
Mobix Labs (MOBX) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Liabilities at Mobix Labs came in at $37.45 million, up 11.6% from FY2024.
- Total Liabilities shows a four-year compound annual growth rate of -17.7% (FY2021 to FY2025).
- In earlier fiscal years, Total Liabilities was $33.56 million in FY2024, $37.09 million in FY2023 (+97.6%), $18.77 million in FY2022 (-77.0%) and $81.74 million in FY2021.
- Quarterly Total Liabilities has moved between $18.77 million (fiscal Q4 2022) and $81.74 million (fiscal Q4 2021) over five years.
- Compared with a year earlier, Total Liabilities has declined for three straight quarters, with an average decline of 2.6% over the last six quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q4 2023 (growth of 97.6%); the worst was fiscal Q4 2022 (a decline of 77.0%).
- Per Business Quant data, MOBX's Total Liabilities in the three fiscal quarters before Q3 2026 was $26.01 million (Q2 2026), $28.06 million (Q1 2026) and $37.45 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 53.68 Bn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 33.34 Bn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 7.52 Bn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 58.49 Bn |
| 10 | Mobix Labs | 9.45 Mn | 1.20 Mn | 102,000.00 | 28.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.69 Mn |
| Mar 31, 2026 | 26.01 Mn |
| Dec 31, 2025 | 28.06 Mn |
| Sep 30, 2025 | 37.45 Mn |
| Jun 30, 2025 | 34.13 Mn |
| Mar 31, 2025 | 36.19 Mn |
| Dec 31, 2024 | 40.31 Mn |
| Sep 30, 2024 | 33.56 Mn |
| Jun 30, 2024 | 32.74 Mn |
| Mar 31, 2024 | 25.34 Mn |
| Dec 31, 2023 | 37.09 Mn |
| Sep 30, 2023 | 24.09 Mn |
| Jun 30, 2023 | 14.74 Mn |
| Mar 31, 2023 | 14.36 Mn |
| Dec 31, 2022 | 18.77 Mn |
| Sep 30, 2022 | 19.17 Mn |
| Jun 30, 2022 | 80.64 Mn |
| Mar 31, 2022 | 80.82 Mn |
| Dec 31, 2021 | 81.74 Mn |
Mobix Labs Total Liabilities 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=total-liabilities&ticker=MOBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MOBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();