AST SpaceMobile (ASTS) Total Liabilities (2019 - 2026)
AST SpaceMobile (ASTS) recorded Total Liabilities of $3.46 billion in Q2 2026, up 377.8% from $723.61 million a year earlier and up 2.0% from the prior quarter.
AST SpaceMobile (ASTS) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, AST SpaceMobile reported Total Liabilities of $2.62 billion, up 818.7% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 166.1% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $285.42 million in FY2024 (+93.7%), $147.33 million in FY2023 (+87.6%), $78.55 million in FY2022 (-14.6%) and $91.96 million in FY2021 (+367.8%).
- The Q2 2026 figure is the highest quarterly Total Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Liabilities has increased for 12 consecutive quarters, with growth averaging 301.7% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 818.7% in Q4 2025, against a decline of 53.9% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.39 billion (Q1 2026), $2.62 billion (Q4 2025) and $924.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 186.37 Bn | 149.50 Bn | 27.03 Bn | 304.99 Bn |
| 2 | T-Mobile US | 172.07 Bn | 156.81 Bn | 14.76 Bn | 157.29 Bn |
| 3 | At&T | 162.52 Bn | 94.48 Bn | 25.82 Bn | 301.93 Bn |
| 4 | Grupo Televisa, S.A.B | 155.17 Bn | 146.91 Bn | 318.12 Mn | 7.11 Bn |
| 5 | Comcast | 78.07 Bn | 42.13 Bn | - | 167.78 Bn |
| 6 | Vodafone Group Public | 38.75 Bn | 8.15 Bn | - | 90.86 Bn |
| 7 | Chunghwa Telecom | 36.94 Bn | 28.95 Bn | 728.80 Mn | 5.90 Bn |
| 8 | EchoStar | 24.82 Bn | 15.91 Bn | 1.65 Bn | 25.22 Bn |
| 9 | Telefonica Brasil | 20.19 Bn | 14.21 Bn | 1.42 Bn | - |
| 10 | AST SpaceMobile | 12.17 Bn | 3.31 Bn | 7.95 Mn | 3.46 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.46 Bn |
| Mar 31, 2026 | 3.39 Bn |
| Dec 31, 2025 | 2.62 Bn |
| Sep 30, 2025 | 924.88 Mn |
| Jun 30, 2025 | 723.61 Mn |
| Mar 31, 2025 | 602.99 Mn |
| Dec 31, 2024 | 285.42 Mn |
| Sep 30, 2024 | 318.85 Mn |
| Jun 30, 2024 | 337.77 Mn |
| Mar 31, 2024 | 215.88 Mn |
| Dec 31, 2023 | 147.33 Mn |
| Sep 30, 2023 | 114.91 Mn |
| Jun 30, 2023 | 72.59 Mn |
| Mar 31, 2023 | 83.80 Mn |
| Dec 31, 2022 | 78.55 Mn |
| Sep 30, 2022 | 89.59 Mn |
| Mar 31, 2022 | 98.71 Mn |
| Dec 31, 2021 | 91.96 Mn |
| Sep 30, 2021 | 97.92 Mn |
| Jun 30, 2021 | 137.45 Mn |
AST SpaceMobile 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=ASTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "ASTS", "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=ASTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();