Twilio (TWLO) Price to Sales (2016 - 2026)
Twilio's Price to Sales came in at 24.36 for Q2 2026, up 489.4% from 4.13 a year earlier and up 31.4% from the prior quarter.
Analysis
Twilio (TWLO) Price to Sales (2016 - 2026) Analysis & Trends
For FY2025, Twilio's Price to Sales was 30.31, up 27.7% from FY2024.
- Going back by year, Price to Sales was 23.73 in FY2024 (+45.9%), 16.27 in FY2023, 2.38 in FY2022 (-85.8%) and 16.72 in FY2021 (-46.9%).
- The five-year range for quarterly Price to Sales is 2.17 (Q2 2024) to 24.71 (Q4 2025).
- The fastest year-over-year change in Price to Sales over five years came in Q2 2026 (growth of 489.4%), and the weakest in Q2 2022 (a decline of 85.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.36 |
| Mar 31, 2026 | 18.54 |
| Nov 30, 2025 | 24.71 |
| Sep 30, 2025 | 3.14 |
| Jun 30, 2025 | 4.13 |
| Mar 31, 2025 | 3.37 |
| Sep 30, 2024 | 2.82 |
| Jun 30, 2024 | 2.17 |
| Mar 31, 2024 | 2.54 |
| Sep 30, 2023 | 2.61 |
| Jun 30, 2023 | 2.90 |
| Mar 31, 2023 | 3.08 |
| Sep 30, 2022 | 3.31 |
| Jun 30, 2022 | 4.27 |
| Mar 31, 2022 | 9.06 |
| Dec 31, 2021 | 16.72 |
| Sep 30, 2021 | 21.10 |
| Jun 30, 2021 | 29.18 |
| Mar 31, 2021 | 27.85 |
| Dec 31, 2020 | 31.52 |
API Access
Twilio Price to Sales 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-sales&ticker=TWLO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "TWLO", "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-sales&ticker=TWLO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();