AST SpaceMobile (ASTS) Total Non-Current Liabilities (2019 - 2026)
AST SpaceMobile's Total Non-Current Liabilities came in at $3.42 billion for Q2 2026, up 457.7% from $614.11 million a year earlier and up 2.0% from the prior quarter.
AST SpaceMobile (ASTS) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, AST SpaceMobile's Total Non-Current Liabilities was $2.59 billion, up 960.7% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years.
- Going back by year, Total Non-Current Liabilities was $244.17 million in FY2024 (+108.0%), $117.37 million in FY2023 (+196.4%), $39.6 million in FY2022 (+16.9%) and $33.86 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2019.
- Year-over-year, Total Non-Current Liabilities has increased for 12 consecutive quarters, with growth averaging 343.5% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2025 (growth of 960.7%), and the weakest in Q3 2021 (a decline of 82.2%).
- Business Quant data shows ASTS's Total Non-Current Liabilities at $3.36 billion (Q1 2026), $2.59 billion (Q4 2025) and $893.09 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 195.65 Bn | 160.05 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 177.81 Bn | 162.55 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 174.05 Bn | 122.00 Bn | 25.82 Bn | 190.02 Bn |
| 4 | Grupo Televisa, S.A.B | 146.85 Bn | 135.48 Bn | 318.12 Mn | 1.39 Bn |
| 5 | Comcast | 77.49 Bn | 41.74 Bn | - | 146.48 Bn |
| 6 | Chunghwa Telecom | 35.79 Bn | 31.63 Bn | 728.80 Mn | 18.63 Mn |
| 7 | EchoStar | 26.14 Bn | 17.28 Bn | 1.65 Bn | 21.41 Bn |
| 8 | AST SpaceMobile | 24.05 Bn | 24.55 Bn | 7.95 Mn | 3.42 Bn |
| 9 | Bce | 19.56 Bn | 17.89 Bn | - | 33.67 Bn |
| 10 | Telefonica Brasil | 18.53 Bn | 12.53 Bn | 1.42 Bn | 192.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.42 Bn |
| Mar 31, 2026 | 3.36 Bn |
| Dec 31, 2025 | 2.59 Bn |
| Sep 30, 2025 | 893.09 Mn |
| Jun 30, 2025 | 614.11 Mn |
| Mar 31, 2025 | 558.49 Mn |
| Dec 31, 2024 | 244.17 Mn |
| Sep 30, 2024 | 261.35 Mn |
| Jun 30, 2024 | 259.87 Mn |
| Mar 31, 2024 | 204.14 Mn |
| Dec 31, 2023 | 117.37 Mn |
| Sep 30, 2023 | 97.41 Mn |
| Jun 30, 2023 | 47.59 Mn |
| Mar 31, 2023 | 52.35 Mn |
| Dec 31, 2022 | 39.60 Mn |
| Sep 30, 2022 | 33.19 Mn |
| Mar 31, 2022 | 35.16 Mn |
| Dec 31, 2021 | 33.86 Mn |
| Sep 30, 2021 | 21.81 Mn |
| Jun 30, 2021 | 21.94 Mn |
AST SpaceMobile Total Non-Current 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-non-current-liabilities&ticker=ASTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ASTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();