Axe Compute (AGPU) Total Current Liabilities (2010 - 2026)
Axe Compute (AGPU) recorded Total Current Liabilities of $38.69 million in Q2 2026, up 906.0% from $3.85 million a year earlier and up 815.2% from the prior quarter.
Axe Compute (AGPU) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Axe Compute reported Total Current Liabilities of $4.27 million, up 18.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -14.5% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $3.59 million in FY2024 (-9.1%), $3.95 million in FY2023 (+1.8%), $3.88 million in FY2022 (+19.8%) and $3.24 million in FY2021 (-65.3%).
- Quarterly Total Current Liabilities has ranged from $2.68 million in Q1 2022 to $79.49 million in Q3 2025 over the past five years.
- On a year-over-year basis, Total Current Liabilities rose in three of the last seven quarters, with growth averaging 126.3%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 906.0% in Q2 2026, against a decline of 74.3% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.23 million (Q1 2026), $4.27 million (Q4 2025) and $79.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 168.83 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 35.91 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 2.63 Bn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 3.82 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 2.39 Bn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | 20.92 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 1.90 Bn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 1.68 Bn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 2.84 Bn |
| 10 | Axe Compute | 239.18 Mn | 199.38 Mn | - | 38.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 38.69 Mn |
| Mar 31, 2026 | 4.23 Mn |
| Dec 31, 2025 | 4.27 Mn |
| Sep 30, 2025 | 79.49 Mn |
| Jun 30, 2025 | 3.85 Mn |
| Mar 31, 2025 | 4.61 Mn |
| Dec 31, 2024 | 3.59 Mn |
| Sep 30, 2024 | 3.82 Mn |
| Jun 30, 2024 | 4.62 Mn |
| Mar 31, 2024 | 4.52 Mn |
| Dec 31, 2023 | 3.95 Mn |
| Sep 30, 2023 | 4.17 Mn |
| Jun 30, 2023 | 3.76 Mn |
| Mar 31, 2023 | 3.91 Mn |
| Dec 31, 2022 | 3.88 Mn |
| Sep 30, 2022 | 3.47 Mn |
| Jun 30, 2022 | 2.83 Mn |
| Mar 31, 2022 | 2.68 Mn |
| Dec 31, 2021 | 3.24 Mn |
| Sep 30, 2021 | 2.99 Mn |
Axe Compute 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=AGPU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();