Anterix (ATEX) Total Current Liabilities (2014 - 2026)
Anterix's Total Current Liabilities was $31.55 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 12.2% from $35.95 million a year earlier and down 12.4% from the prior quarter.
Anterix (ATEX) Total Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Current Liabilities at Anterix came in at $36 million, up 32.3% from FY2025.
- Total Current Liabilities shows a five-year compound annual growth rate of 33.1% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $27.2 million in FY2025 (+51.5%), $17.95 million in FY2024 (-43.7%), $31.9 million in FY2023 (+231.1%) and $9.64 million in FY2022 (+11.9%).
- The fiscal Q1 2027 figure marks the lowest quarterly Total Current Liabilities since fiscal Q4 2025.
- Compared with a year earlier, Total Current Liabilities was higher in seven of the last eight quarters, with growth averaging 50.1%.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q2 2023 (growth of 328.8%); the worst was fiscal Q1 2025 (a decline of 49.3%).
- Per Business Quant data, ATEX's Total Current Liabilities in the three fiscal quarters before Q1 2027 was $36 million (Q4 2026), $36.02 million (Q3 2026) and $34.62 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 192.25 Bn | 158.59 Bn | 27.05 Bn | 66.27 Bn |
| 2 | T-Mobile US | 180.09 Bn | 162.53 Bn | 15.13 Bn | 23.99 Bn |
| 3 | At&T | 147.71 Bn | 89.17 Bn | 26.22 Bn | 60.28 Bn |
| 4 | Grupo Televisa, S.A.B | 145.45 Bn | 145.45 Bn | 960.50 Mn | 4.31 Bn |
| 5 | Comcast | 86.66 Bn | 52.46 Bn | - | 30.72 Bn |
| 6 | Chunghwa Telecom | 37.85 Bn | 29.87 Bn | 728.80 Mn | 3.72 Bn |
| 7 | Vodafone Group Public | 37.58 Bn | 6.97 Bn | - | 27.50 Bn |
| 8 | EchoStar | 28.99 Bn | 10.02 Bn | 647.20 Mn | 1.47 Bn |
| 9 | Bce | 19.92 Bn | 17.91 Bn | 2.79 Bn | 8.47 Bn |
| 10 | Anterix | 1.51 Bn | 1.22 Bn | - | 31.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.55 Mn |
| Mar 31, 2026 | 36.00 Mn |
| Dec 31, 2025 | 36.02 Mn |
| Sep 30, 2025 | 34.62 Mn |
| Jun 30, 2025 | 35.95 Mn |
| Mar 31, 2025 | 27.20 Mn |
| Dec 31, 2024 | 24.40 Mn |
| Sep 30, 2024 | 15.81 Mn |
| Jun 30, 2024 | 16.52 Mn |
| Mar 31, 2024 | 17.95 Mn |
| Dec 31, 2023 | 17.26 Mn |
| Sep 30, 2023 | 15.30 Mn |
| Jun 30, 2023 | 32.60 Mn |
| Mar 31, 2023 | 31.90 Mn |
| Dec 31, 2022 | 31.33 Mn |
| Sep 30, 2022 | 29.90 Mn |
| Jun 30, 2022 | 8.97 Mn |
| Mar 31, 2022 | 9.64 Mn |
| Dec 31, 2021 | 9.87 Mn |
| Sep 30, 2021 | 6.97 Mn |
Anterix Total 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-current-liabilities&ticker=ATEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ATEX", "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-current-liabilities&ticker=ATEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();