Akamai Technologies (AKAM) Other Operating Expenses (2009 - 2026)
Akamai Technologies' Other Operating Expenses came in at $681.07 million for Q2 2026, up 13.4% from $600.5 million a year earlier and up 4.2% from the prior quarter.
Akamai Technologies (AKAM) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Akamai Technologies reported Other Operating Expenses of $2.57 billion, up 9.8% year-over-year; for FY2025, it came in at $2.41 billion, up 6.3% from FY2024.
- Other Operating Expenses has increased in each of the last 16 years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $2.27 billion in FY2024 (+7.5%), $2.11 billion in FY2023 (+8.2%), $1.95 billion in FY2022 (+9.7%) and $1.78 billion in FY2021 (+5.6%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q2 2009.
- Year-over-year, Other Operating Expenses has increased for 65 consecutive quarters, with growth averaging 8.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 1.8% in Q4 2021 to 13.4% in Q2 2026.
- Business Quant data shows AKAM's Other Operating Expenses at $653.55 million (Q1 2026), $629.49 million (Q4 2025) and $602.18 million (Q3 2025) in the three quarters before Q2 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 681.07 Mn |
| Mar 31, 2026 | 653.55 Mn |
| Dec 31, 2025 | 629.49 Mn |
| Sep 30, 2025 | 602.18 Mn |
| Jun 30, 2025 | 600.50 Mn |
| Mar 31, 2025 | 580.71 Mn |
| Dec 31, 2024 | 584.59 Mn |
| Sep 30, 2024 | 571.73 Mn |
| Jun 30, 2024 | 563.00 Mn |
| Mar 31, 2024 | 550.34 Mn |
| Dec 31, 2023 | 545.49 Mn |
| Sep 30, 2023 | 533.49 Mn |
| Jun 30, 2023 | 525.73 Mn |
| Mar 31, 2023 | 506.34 Mn |
| Dec 31, 2022 | 504.05 Mn |
| Sep 30, 2022 | 487.76 Mn |
| Jun 30, 2022 | 490.29 Mn |
| Mar 31, 2022 | 469.12 Mn |
| Dec 31, 2021 | 463.18 Mn |
| Sep 30, 2021 | 437.34 Mn |
Akamai Technologies Other Operating 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-operating-expenses&ticker=AKAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=AKAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();