Cloudflare (NET) Accumulated Expenses (2018 - 2026)
Cloudflare's (NET) quarterly Accumulated Expenses came in at $165.8 million in Q2 2026, up 106.04% year-over-year from $80.5 million in Q2 2025, and up 31.1% quarter-over-quarter from $126.5 million in Q1 2026.
Cloudflare (NET) Accumulated Expenses (2018 - 2026) Analysis & Trends
Cloudflare has disclosed Accumulated Expenses across 9 years of filings, most recently posting $165.8 million for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 106.04% year-over-year to $165.8 million; the TTM figure through Jun 2026 stood at $165.8 million (up 106.04% YoY), while the FY2025 annual figure was $111.0 million, up 36.03% from the prior year.
- Accumulated Expenses came in at $165.8 million for Q2 2026 at Cloudflare, up from $126.5 million in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $165.8 million in Q2 2026 to a low of $40.9 million in Q1 2022.
- Average Accumulated Expenses over 5 years is $78.5 million, with a median of $68.6 million recorded in 2024.
- Year-over-year, Accumulated Expenses retreated 6.62% in 2023 and surged 106.04% in 2026.
- Over 5 years, Accumulated Expenses stood at $68.3 million in 2022, then declined by 6.62% to $63.8 million in 2023, then gained by 27.9% to $81.6 million in 2024, then jumped by 36.03% to $111.0 million in 2025, then surged by 49.35% to $165.8 million in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $165.8 million in Q2 2026, $126.5 million in Q1 2026, and $111.0 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,717.88 Bn | 3,585.13 Bn | 60.48 Bn |
| 2 | International Business Machines | 219.37 Bn | 208.10 Bn | 9.91 Bn |
| 3 | Cloudflare | 113.46 Bn | 109.29 Bn | 499.52 Mn |
| 4 | Equinix | 102.39 Bn | 100.19 Bn | 1.40 Bn |
| 5 | Nebius | 57.34 Bn | 49.30 Bn | 448.70 Mn |
| 6 | CoreWeave | 47.88 Bn | 42.34 Bn | 1.70 Bn |
| 7 | Verisign | 26.51 Bn | 25.48 Bn | 384.60 Mn |
| 8 | Nutanix | 18.85 Bn | 16.49 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 17.01 Bn | 13.65 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.83 Bn | 14.06 Bn | 154.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 165.79 Mn |
| Mar 31, 2026 | 126.46 Mn |
| Dec 31, 2025 | 111.01 Mn |
| Sep 30, 2025 | 92.51 Mn |
| Jun 30, 2025 | 80.46 Mn |
| Mar 31, 2025 | 89.62 Mn |
| Dec 31, 2024 | 81.60 Mn |
| Sep 30, 2024 | 68.89 Mn |
| Jun 30, 2024 | 66.92 Mn |
| Mar 31, 2024 | 68.41 Mn |
| Dec 31, 2023 | 63.80 Mn |
| Sep 30, 2023 | 55.69 Mn |
| Jun 30, 2023 | 54.60 Mn |
| Mar 31, 2023 | 69.37 Mn |
| Dec 31, 2022 | 68.33 Mn |
| Sep 30, 2022 | 55.07 Mn |
| Jun 30, 2022 | 53.18 Mn |
| Mar 31, 2022 | 40.89 Mn |
| Dec 31, 2021 | 65.91 Mn |
| Sep 30, 2021 | 37.19 Mn |
Cloudflare 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=NET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "NET", "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=NET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();