Axe Compute (AGPU) Depreciation and Depletion (2010 - 2026)
Axe Compute's Depreciation and Depletion came in at $52,361 for Q2 2026, up 66.4% from $31,467 a year earlier and up 92.0% from the prior quarter.
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Analysis
Axe Compute (AGPU) Depreciation and Depletion (2010 - 2026) Analysis & Trends
For FY2025, Axe Compute's Depreciation and Depletion was $124,460, down 2.3% from FY2024.
- Depreciation and Depletion has declined in each of the last four years, with a five-year compound annual growth rate of -29.4% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $127,354 in FY2024 (-41.7%), $218,325 in FY2023 (-75.7%), $898,369 in FY2022 (-7.0%) and $965,973 in FY2021 (+35.8%).
- The Q2 2026 figure represents the highest quarterly Depreciation and Depletion since Q2 2023.
- Year-over-year, Depreciation and Depletion increased in three of the last eight quarters, with growth averaging 3.9%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q2 2026 (growth of 66.4%), and the weakest in Q4 2023 (a decline of 86.3%).
- Business Quant data shows AGPU's Depreciation and Depletion at $27,272 (Q1 2026), $30,059 (Q4 2025) and $31,467 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,843.70 Bn | 3,766.85 Bn | 60.48 Bn | 10.30 Bn |
| 2 | International Business Machines | 209.74 Bn | 160.64 Bn | 9.91 Bn | 533.00 Mn |
| 3 | Cloudflare | 112.41 Bn | 95.94 Bn | 499.52 Mn | 51.50 Mn |
| 4 | Equinix | 101.21 Bn | 89.76 Bn | 1.40 Bn | - |
| 5 | Nebius | 61.44 Bn | 34.87 Bn | 448.70 Mn | 253.80 Mn |
| 6 | CoreWeave | 49.38 Bn | 36.47 Bn | 1.70 Bn | 1.40 Bn |
| 7 | Verisign | 26.06 Bn | 23.28 Bn | 384.60 Mn | - |
| 8 | Nutanix | 19.56 Bn | 11.24 Bn | 651.35 Mn | 16.30 Mn |
| 9 | Akamai Technologies | 15.64 Bn | 9.05 Bn | 613.75 Mn | - |
| 10 | Axe Compute | 237.80 Mn | 198.00 Mn | - | 52,361.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52,361.00 |
| Mar 31, 2026 | 27,272.00 |
| Dec 31, 2025 | 30,059.00 |
| Sep 30, 2025 | 31,467.00 |
| Jun 30, 2025 | 31,467.00 |
| Mar 31, 2025 | 31,467.00 |
| Dec 31, 2024 | 31,467.00 |
| Sep 30, 2024 | 31,203.00 |
| Jun 30, 2024 | 31,981.00 |
| Mar 31, 2024 | 32,703.00 |
| Dec 31, 2023 | 31,265.00 |
| Sep 30, 2023 | 36,083.00 |
| Jun 30, 2023 | 173,100.00 |
| Mar 31, 2023 | 231,189.00 |
| Dec 31, 2022 | 228,683.00 |
| Sep 30, 2022 | 227,135.00 |
| Jun 30, 2022 | 222,473.00 |
| Mar 31, 2022 | 220,078.00 |
| Dec 31, 2021 | 245,237.00 |
| Sep 30, 2021 | 237,742.00 |
API Access
Axe Compute Depreciation and Depletion 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=depreciation-and-depletion&ticker=AGPU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();