Axe Compute (AGPU) Depreciation & Amortization (CF) (2010 - 2026)
Axe Compute (AGPU) recorded Depreciation & Amortization (CF) of $26,234 in Q2 2026, down 19.6% from $32,611 a year earlier and down 7.7% from the prior quarter.
Axe Compute (AGPU) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Axe Compute's Depreciation & Amortization (CF) came in at $118,466 as of Jun 30, 2026, down 9.1% year-over-year; for FY2025, it came in at $129,038, down 2.5% from FY2024.
- Annual Depreciation & Amortization (CF) has declined for four straight years, with a five-year compound annual growth rate of -33.9% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $132,337 in FY2024 (-45.9%), $244,788 in FY2023 (-81.4%), $1.31 million in FY2022 (-2.0%) and $1.34 million in FY2021 (+30.8%).
- The Q2 2026 figure is the lowest quarterly Depreciation & Amortization (CF) since Q3 2023.
- On a year-over-year basis, Depreciation & Amortization (CF) has declined for three consecutive quarters, with an average decline of 8.0% over the last seven quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 20.0% in Q4 2021, against a decline of 88.6% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $28,416 (Q1 2026), $31,204 (Q4 2025) and $32,612 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | 11.02 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | 533.00 Mn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | 65.36 Mn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | 557.00 Mn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | 253.80 Mn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | 1.39 Bn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | 6.60 Mn |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | 17.06 Mn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 185.54 Mn |
| 10 | Axe Compute | 223.83 Mn | 184.02 Mn | - | 26,234.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26,234.00 |
| Mar 31, 2026 | 28,416.00 |
| Dec 31, 2025 | 31,204.00 |
| Sep 30, 2025 | 32,612.00 |
| Jun 30, 2025 | 32,611.00 |
| Mar 31, 2025 | 32,611.00 |
| Dec 31, 2024 | 32,712.00 |
| Sep 30, 2024 | 32,449.00 |
| Jun 30, 2024 | 33,227.00 |
| Mar 31, 2024 | 33,949.00 |
| Dec 31, 2023 | 37,887.00 |
| Sep 30, 2023 | -211,088.00 |
| Jun 30, 2023 | 180,135.00 |
| Mar 31, 2023 | 237,854.00 |
| Dec 31, 2022 | 332,694.00 |
| Sep 30, 2022 | 330,940.00 |
| Jun 30, 2022 | 325,839.00 |
| Mar 31, 2022 | 323,602.00 |
| Dec 31, 2021 | 369,813.00 |
| Sep 30, 2021 | 321,362.00 |
Axe Compute Depreciation & Amortization (CF) 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-amortization-cf&ticker=AGPU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-amortization-cf&ticker=AGPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();