Axe Compute (AGPU) EPS (Diluted) (2011 - 2026)
Axe Compute's EPS (Diluted) was -$0.87 in Q2 2026, compared with -$3.41 a year earlier.
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Analysis
Axe Compute (AGPU) EPS (Diluted) (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Axe Compute's EPS (Diluted) was -$12.88 through Jun 30, 2026; for FY2025, it was -$13.37.
- In earlier years, EPS (Diluted) was -$34.83 in FY2024 and -$7.35 in FY2023.
- Quarterly EPS (Diluted) has moved between -$107.25 (Q3 2025) and -$0.36 (Q1 2026) over five years.
- Per Business Quant data, AGPU's EPS (Diluted) in the three quarters before Q2 2026 was -$0.36 (Q1 2026), -$8.66 (Q4 2025) and -$107.25 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | 4.80 |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | 2.27 |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | -0.48 |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | 4.83 |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | -0.67 |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | -1.14 |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | 2.38 |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 4.35 |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 0.52 |
| 10 | Axe Compute | 239.18 Mn | 199.38 Mn | - | -0.87 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.87 |
| Mar 31, 2026 | -0.36 |
| Dec 31, 2025 | -8.66 |
| Sep 30, 2025 | -107.25 |
| Jun 30, 2025 | -3.41 |
| Mar 31, 2025 | -5.12 |
| Dec 31, 2024 | -5.97 |
| Sep 30, 2024 | -7.26 |
| Jun 30, 2024 | -10.23 |
| Mar 31, 2024 | -2.42 |
| Dec 31, 2023 | -1.81 |
| Sep 30, 2023 | -1.54 |
| Mar 31, 2019 | -627.99 |
| Dec 31, 2018 | -806.69 |
| Sep 30, 2018 | -567.42 |
| Jun 30, 2018 | -599.35 |
| Mar 31, 2018 | -463.77 |
| Dec 31, 2017 | -530.63 |
| Sep 30, 2017 | -766.69 |
| Jun 30, 2017 | -1,965.74 |
API Access
Axe Compute EPS (Diluted) 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=eps-diluted&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();