Akamai Technologies (AKAM) Accumulated Expenses (2009 - 2026)
Akamai Technologies (AKAM) recorded Accumulated Expenses of $277.77 million in Q2 2026, up 2.1% from $272.14 million a year earlier but down 3.0% from the prior quarter.
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Analysis
Akamai Technologies (AKAM) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Akamai Technologies reported Accumulated Expenses of $319.62 million, down 13.8% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $370.89 million in FY2024 (+5.3%), $352.18 million in FY2023 (-4.0%), $367.02 million in FY2022 (-10.8%) and $411.59 million in FY2021 (+8.2%).
- Quarterly Accumulated Expenses has ranged from $256.92 million in Q1 2023 to $411.59 million in Q4 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in four of the last eight quarters, with an average decline of 2.2%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 13.6% in Q1 2024, against a decline of 25.1% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $286.43 million (Q1 2026), $319.62 million (Q4 2025) and $308.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,833.59 Bn | 3,756.75 Bn | 60.48 Bn |
| 2 | International Business Machines | 212.47 Bn | 163.37 Bn | 9.91 Bn |
| 3 | Cloudflare | 112.40 Bn | 95.93 Bn | 499.52 Mn |
| 4 | Equinix | 99.47 Bn | 88.02 Bn | 1.40 Bn |
| 5 | Nebius | 60.05 Bn | 33.48 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.26 Bn | 35.35 Bn | 1.70 Bn |
| 7 | Verisign | 25.97 Bn | 23.18 Bn | 384.60 Mn |
| 8 | Nutanix | 18.41 Bn | 10.09 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 16.36 Bn | 9.77 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.67 Bn | 12.67 Bn | 154.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 277.77 Mn |
| Mar 31, 2026 | 286.43 Mn |
| Dec 31, 2025 | 319.62 Mn |
| Sep 30, 2025 | 308.16 Mn |
| Jun 30, 2025 | 272.14 Mn |
| Mar 31, 2025 | 265.37 Mn |
| Dec 31, 2024 | 370.89 Mn |
| Sep 30, 2024 | 288.62 Mn |
| Jun 30, 2024 | 283.86 Mn |
| Mar 31, 2024 | 291.99 Mn |
| Dec 31, 2023 | 352.18 Mn |
| Sep 30, 2023 | 329.35 Mn |
| Jun 30, 2023 | 269.27 Mn |
| Mar 31, 2023 | 256.92 Mn |
| Dec 31, 2022 | 367.02 Mn |
| Sep 30, 2022 | 329.21 Mn |
| Jun 30, 2022 | 306.40 Mn |
| Mar 31, 2022 | 342.80 Mn |
| Dec 31, 2021 | 411.59 Mn |
| Sep 30, 2021 | 376.04 Mn |
API Access
Akamai Technologies 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=accumulated-expenses&ticker=AKAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=AKAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();