Akamai Technologies (AKAM) Total Liabilities (2009 - 2026)
Akamai Technologies (AKAM) posted Total Liabilities of $10.4 billion for Q3 2026, up 70.4% from $6.1 billion a year earlier and up 0.7% from the prior quarter.
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Analysis
Akamai Technologies (AKAM) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Akamai Technologies' Total Liabilities came in at $6.5 billion, up 18.4% from FY2024.
- Annual Total Liabilities has increased for 15 consecutive years, with a five-year compound annual growth rate of 13.1% (FY2020 to FY2025).
- In prior years, Akamai Technologies' Total Liabilities was $5.49 billion in FY2024 (+3.5%), $5.3 billion in FY2023 (+34.5%), $3.94 billion in FY2022 (+9.3%) and $3.61 billion in FY2021 (+2.7%).
- The Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q1 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last 29 quarters, with growth averaging 27.0% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 0.4% (Q1 2023) to 70.4% (Q3 2026).
- According to Business Quant data, Total Liabilities for the three prior quarters was $10.32 billion (Q2 2026), $6.74 billion (Q1 2026) and $6.5 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 308.89 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 118.81 Bn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | 6.23 Bn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 29.91 Bn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | 87.46 Bn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | 26.44 Bn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 3.56 Bn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | 4.37 Bn |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 8.05 Bn |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn | 10.40 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.40 Bn |
| Jun 30, 2026 | 10.32 Bn |
| Mar 31, 2026 | 6.74 Bn |
| Dec 31, 2025 | 6.50 Bn |
| Sep 30, 2025 | 6.10 Bn |
| Jun 30, 2025 | 6.07 Bn |
| Mar 31, 2025 | 5.40 Bn |
| Dec 31, 2024 | 5.49 Bn |
| Sep 30, 2024 | 5.40 Bn |
| Jun 30, 2024 | 5.33 Bn |
| Mar 31, 2024 | 5.30 Bn |
| Dec 31, 2023 | 5.30 Bn |
| Sep 30, 2023 | 5.26 Bn |
| Jun 30, 2023 | 4.06 Bn |
| Mar 31, 2023 | 4.01 Bn |
| Dec 31, 2022 | 3.94 Bn |
| Sep 30, 2022 | 3.86 Bn |
| Jun 30, 2022 | 3.92 Bn |
| Mar 31, 2022 | 4.00 Bn |
| Dec 31, 2021 | 3.61 Bn |
API Access
Akamai Technologies Total Liabilities 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=total-liabilities&ticker=AKAM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=AKAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();