Akamai Technologies (AKAM) Change in Accured Expenses (2009 - 2026)
Akamai Technologies (AKAM) posted Change in Accured Expenses of $26.94 million for Q2 2026, up 6.2% from $25.37 million a year earlier.
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Analysis
Akamai Technologies (AKAM) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Akamai Technologies was $20.87 million; for FY2025, it came in at -$48.58 million.
- In prior years, Akamai Technologies' Change in Accured Expenses was $344,000 in FY2024, -$39.83 million in FY2023, -$26.5 million in FY2022 and $31.52 million in FY2021 (-19.6%).
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses since Q4 2024.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 61.1%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q4 2024, with growth of 290.9%; the weakest was Q4 2025, with a decline of 82.5%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$42.04 million (Q1 2026), $13.92 million (Q4 2025) and $22.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,781.98 Bn | 3,705.13 Bn | 60.48 Bn | - |
| 2 | International Business Machines | 207.92 Bn | 158.82 Bn | 9.91 Bn | - |
| 3 | Cloudflare | 114.07 Bn | 97.60 Bn | 499.52 Mn | 39.19 Mn |
| 4 | Equinix | 99.76 Bn | 88.32 Bn | 1.40 Bn | -18.00 Mn |
| 5 | Nebius | 58.67 Bn | 32.10 Bn | 448.70 Mn | 23.10 Mn |
| 6 | CoreWeave | 46.87 Bn | 33.97 Bn | 1.70 Bn | -656.00 Mn |
| 7 | Verisign | 25.50 Bn | 22.71 Bn | 384.60 Mn | -15.60 Mn |
| 8 | Nutanix | 18.59 Bn | 10.27 Bn | 651.35 Mn | 97.90 Mn |
| 9 | Akamai Technologies | 15.65 Bn | 9.06 Bn | 613.75 Mn | 26.94 Mn |
| 10 | DigitalOcean Holdings | 14.31 Bn | 12.31 Bn | 154.66 Mn | 17.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.94 Mn |
| Mar 31, 2026 | -42.04 Mn |
| Dec 31, 2025 | 13.92 Mn |
| Sep 30, 2025 | 22.05 Mn |
| Jun 30, 2025 | 25.37 Mn |
| Mar 31, 2025 | -109.91 Mn |
| Dec 31, 2024 | 79.54 Mn |
| Sep 30, 2024 | -31.77 Mn |
| Jun 30, 2024 | 19.52 Mn |
| Mar 31, 2024 | -66.95 Mn |
| Dec 31, 2023 | 20.35 Mn |
| Sep 30, 2023 | 23.62 Mn |
| Jun 30, 2023 | 13.48 Mn |
| Mar 31, 2023 | -97.26 Mn |
| Dec 31, 2022 | 38.23 Mn |
| Sep 30, 2022 | -4.75 Mn |
| Jun 30, 2022 | 6.96 Mn |
| Mar 31, 2022 | -66.94 Mn |
| Dec 31, 2021 | 47.79 Mn |
| Sep 30, 2021 | 66.80 Mn |
API Access
Akamai Technologies Change in Accured 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=change-in-accured-expenses&ticker=AKAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=AKAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();