Axe Compute (AGPU) Total Non-Current Liabilities (2010 - 2024)
Axe Compute's Total Non-Current Liabilities was $5.15 million in Q4 2024, down 16.1% from $6.14 million a year earlier and down 6.7% from the prior quarter.
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Analysis
Axe Compute (AGPU) Total Non-Current Liabilities (2010 - 2024) Analysis & Trends
From Q4 2010 onward, Axe Compute has reported Total Non-Current Liabilities for 47 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -14.2% (FY2019 to FY2024).
- In earlier years, Total Non-Current Liabilities was $6.14 million in FY2023 (-64.8%), $17.46 million in FY2022 (+401.8%), $3.48 million in FY2021 (-65.8%) and $10.18 million in FY2020 (-8.2%).
- The Q4 2024 figure marks the lowest quarterly Total Non-Current Liabilities since Q2 2023.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last seven quarters, with growth averaging 97.9%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2024 (growth of 839.1%); the worst was Q2 2023 (a decline of 76.5%).
- Per Business Quant data, AGPU's Total Non-Current Liabilities in the three quarters before Q4 2024 was $5.52 million (Q3 2024), $6.48 million (Q2 2024) and $6.54 million (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,780.05 Bn | 3,703.20 Bn | 60.48 Bn | 250.87 Bn |
| 2 | International Business Machines | 207.28 Bn | 158.18 Bn | 9.91 Bn | 107.51 Bn |
| 3 | Cloudflare | 113.42 Bn | 96.95 Bn | 499.52 Mn | 4.83 Bn |
| 4 | Equinix | 100.18 Bn | 88.73 Bn | 1.40 Bn | 25.68 Bn |
| 5 | Nebius | 60.05 Bn | 33.49 Bn | 448.70 Mn | 15.23 Bn |
| 6 | CoreWeave | 47.35 Bn | 34.44 Bn | 1.70 Bn | 71.68 Bn |
| 7 | Verisign | 25.30 Bn | 22.51 Bn | 384.60 Mn | 2.16 Bn |
| 8 | Nutanix | 18.96 Bn | 10.65 Bn | 651.35 Mn | 4.34 Bn |
| 9 | Akamai Technologies | 15.57 Bn | 8.98 Bn | 613.75 Mn | 10.17 Bn |
| 10 | Axe Compute | 247.06 Mn | 207.25 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 5.15 Mn |
| Sep 30, 2024 | 5.52 Mn |
| Jun 30, 2024 | 6.48 Mn |
| Mar 31, 2024 | 6.54 Mn |
| Dec 31, 2023 | 6.14 Mn |
| Sep 30, 2023 | 6.51 Mn |
| Jun 30, 2023 | 689,949.00 |
| Mar 31, 2023 | 21.00 Mn |
| Dec 31, 2022 | 17.46 Mn |
| Sep 30, 2022 | 3.47 Mn |
| Jun 30, 2022 | 2.94 Mn |
| Mar 31, 2022 | -11.51 Mn |
| Dec 31, 2021 | 3.48 Mn |
| Sep 30, 2021 | 3.37 Mn |
| Jun 30, 2021 | 3.78 Mn |
| Mar 31, 2021 | 3.95 Mn |
| Dec 31, 2020 | 10.18 Mn |
| Sep 30, 2020 | 12.83 Mn |
| Jun 30, 2020 | 15.71 Mn |
| Mar 31, 2020 | 11.88 Mn |
API Access
Axe Compute 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=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AGPU", "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=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();