Axe Compute (AGPU) Finished Goods (2014 - 2024)
Axe Compute (AGPU) reported Finished Goods of $192,051 for Q4 2024, down 24.3% from $253,693 a year earlier but up 6.5% from the prior quarter.
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Analysis
Axe Compute (AGPU) Finished Goods (2014 - 2024) Analysis & Trends
Dating back to Q4 2014, Axe Compute's Finished Goods record includes 39 quarters.
- Finished Goods has a five-year compound annual growth rate of 16.0% (FY2019 to FY2024).
- By year, Finished Goods came in at $253,693 in FY2023 (-12.7%), $290,616 in FY2022 (+50.4%), $193,287 in FY2021 (+101.6%) and $95,898 in FY2020 (+4.9%).
- Five-year quarterly Finished Goods spans a low of $61,805 in Q1 2020 and a high of $333,334 in Q3 2022.
- Year over year, Finished Goods gained in two of the last eight quarters, with an average decline of 11.7%.
- The high point for year-over-year Finished Goods in five years was Q2 2021 (growth of 184.1%); the low point was Q2 2020 (a decline of 53.8%).
- Per Business Quant data, the three quarters before Q4 2024 came in at $180,350 (Q3 2024), $254,368 (Q2 2024) and $162,963 (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn |
| 10 | Axe Compute | 239.18 Mn | 199.38 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 192,051.00 |
| Sep 30, 2024 | 180,350.00 |
| Jun 30, 2024 | 254,368.00 |
| Mar 31, 2024 | 162,963.00 |
| Dec 31, 2023 | 253,693.00 |
| Sep 30, 2023 | 242,949.00 |
| Jun 30, 2023 | 244,521.00 |
| Mar 31, 2023 | 275,654.00 |
| Dec 31, 2022 | 290,616.00 |
| Sep 30, 2022 | 333,334.00 |
| Jun 30, 2022 | 282,268.00 |
| Mar 31, 2022 | 187,922.00 |
| Dec 31, 2021 | 193,287.00 |
| Sep 30, 2021 | 222,898.00 |
| Jun 30, 2021 | 197,212.00 |
| Mar 31, 2021 | 96,171.00 |
| Dec 31, 2020 | 95,898.00 |
| Sep 30, 2020 | 118,059.00 |
| Jun 30, 2020 | 69,407.00 |
| Mar 31, 2020 | 61,805.00 |
API Access
Axe Compute Finished Goods 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=finished-goods&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();