Akamai Technologies (AKAM) Other Accumulated Expenses (2009 - 2026)
Akamai Technologies (AKAM) posted Other Accumulated Expenses of $13.03 million for Q3 2026, up 55.2% from $8.39 million a year earlier but down 5.5% from the prior quarter.
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Analysis
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 four quarters, with growth averaging 79.3% 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 $13.78 million (Q2 2026), $25.13 million (Q1 2026) and $35.04 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.03 Mn |
| 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 |
API Access
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_KEYimport 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();