DigitalOcean Holdings (DOCN) Price to Earnings (2023 - 2026)
DigitalOcean Holdings' (DOCN) Price to Earnings stood at 70.09 in Q2 2026, up 240.6% from 20.58 a year earlier and up 85.5% from the prior quarter.
Analysis
DigitalOcean Holdings (DOCN) Price to Earnings (2023 - 2026) Analysis & Trends
For FY2025, DigitalOcean Holdings' Price to Earnings came in at 17.07, down 54.1% from FY2024.
- Across earlier years, Price to Earnings came in at 37.19 in FY2024 (-78.2%) and 170.59 in FY2023.
- The Q2 2026 figure is the highest quarterly Price to Earnings since Q4 2023.
- On a year-over-year basis, Price to Earnings rose in two of the last seven quarters, with an average decline of 6.5%.
- Per Business Quant, the preceding three quarters came in at 37.79 (Q1 2026), 17.07 (Q4 2025) and 12.41 (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 | 70.09 |
| Mar 31, 2026 | 37.79 |
| Dec 31, 2025 | 17.07 |
| Sep 30, 2025 | 12.41 |
| Jun 30, 2025 | 20.58 |
| Mar 31, 2025 | 28.06 |
| Dec 31, 2024 | 37.19 |
| Sep 30, 2024 | 45.42 |
| Jun 30, 2024 | 46.59 |
| Mar 31, 2024 | 69.81 |
| Dec 31, 2023 | 170.60 |
API Access
DigitalOcean Holdings Price to Earnings 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=price-to-earnings&ticker=DOCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "DOCN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=DOCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();