Akamai Technologies (AKAM) Other Accumulated Expenses (2009 - 2026)
Akamai Technologies (AKAM) posted Other Accumulated Expenses of $13.78 million for Q2 2026, up 31.2% from $10.5 million a year earlier but down 45.2% from the prior quarter.
Akamai Technologies (AKAM) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Akamai Technologies' Other Accumulated Expenses came in at $35.04 million, up 7.8% from FY2024.
- Annual Other Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior years, Akamai Technologies' Other Accumulated Expenses was $32.52 million in FY2024 (+404.8%), $6.44 million in FY2023 (+23.2%), $5.23 million in FY2022 (-21.1%) and $6.62 million in FY2021 (-76.1%).
- Quarterly Other Accumulated Expenses has run from a low of $5.04 million in Q1 2022 to a high of $48.78 million in Q3 2024 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last three quarters, with growth averaging 144.8% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2024, with growth of 578.7%; the weakest was Q3 2025, with a decline of 82.8%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $25.13 million (Q1 2026), $35.04 million (Q4 2025) and $8.39 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,892.50 Bn | 3,815.66 Bn | 60.48 Bn |
| 2 | International Business Machines | 238.73 Bn | 189.54 Bn | 9.91 Bn |
| 3 | Cloudflare | 114.72 Bn | 98.25 Bn | 499.52 Mn |
| 4 | Equinix | 94.20 Bn | 82.76 Bn | 1.40 Bn |
| 5 | Nebius | 38.48 Bn | 11.91 Bn | 448.70 Mn |
| 6 | CoreWeave | 29.87 Bn | 16.96 Bn | 1.70 Bn |
| 7 | Verisign | 27.08 Bn | 24.44 Bn | 393.20 Mn |
| 8 | Nutanix | 18.92 Bn | 10.61 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.68 Bn | 10.25 Bn | 828.20 Mn |
| 10 | Akamai Technologies | 13.49 Bn | 6.90 Bn | 613.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.78 Mn |
| Mar 31, 2026 | 25.13 Mn |
| Dec 31, 2025 | 35.04 Mn |
| Sep 30, 2025 | 8.39 Mn |
| Jun 30, 2025 | 10.50 Mn |
| Mar 31, 2025 | 12.59 Mn |
| Dec 31, 2024 | 32.52 Mn |
| Sep 30, 2024 | 48.78 Mn |
| Jun 30, 2024 | 7.52 Mn |
| Mar 31, 2024 | 7.02 Mn |
| Dec 31, 2023 | 6.44 Mn |
| Sep 30, 2023 | 7.19 Mn |
| Jun 30, 2023 | 21.18 Mn |
| Mar 31, 2023 | 31.22 Mn |
| Dec 31, 2022 | 5.23 Mn |
| Sep 30, 2022 | 7.18 Mn |
| Jun 30, 2022 | 5.32 Mn |
| Mar 31, 2022 | 5.04 Mn |
| Dec 31, 2021 | 6.62 Mn |
| Sep 30, 2021 | 9.17 Mn |
Akamai Technologies Other Accumulated Expenses 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=other-accumulated-expenses&ticker=AKAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "AKAM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=AKAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();