Exponent (EXPO) Price to Sales (2011 - 2026)
Exponent's (EXPO) Price to Sales came in at 4.58 for Q2 2027, down 34.0% from 6.95 a year earlier and down 14.4% from the prior quarter.
Analysis
Exponent (EXPO) Price to Sales (2011 - 2026) Analysis & Trends
For FY2026, Exponent's Price to Sales stood at 5.94, down 26.6% from FY2025.
- In prior years, Exponent's Price to Sales was 8.09 in FY2025, 8.29 in FY2023 (-15.2%) and 9.78 in FY2022 (-25.1%).
- The Q2 2027 figure stands as the lowest quarterly Price to Sales since Q3 2016.
- On a year-over-year basis, Price to Sales has declined in each of the last six quarters, with an average decline of 26.7% over the last six quarters.
- According to Business Quant data, Price to Sales for the three prior quarters was 5.36 (Q1 2027), 5.94 (Q4 2026) and 5.86 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 166.50 Bn | 126.90 Bn | 6.13 Bn |
| 2 | Cintas | 89.53 Bn | 88.62 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.72 Bn | 32.24 Bn | 1.07 Bn |
| 4 | APi | 17.05 Bn | 14.09 Bn | 703.00 Mn |
| 5 | Rollins | 16.64 Bn | 16.18 Bn | 582.90 Mn |
| 6 | UL Solutions | 14.83 Bn | 13.61 Bn | 417.00 Mn |
| 7 | Gartner | 14.54 Bn | 8.23 Bn | 1.19 Bn |
| 8 | Aramark | 13.86 Bn | 11.87 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.50 Bn | 5.01 Bn | - |
| 10 | Exponent | 3.68 Bn | 3.07 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 4.58 |
| Apr 3, 2026 | 5.36 |
| Jan 2, 2026 | 5.94 |
| Oct 3, 2025 | 5.86 |
| Jul 4, 2025 | 6.95 |
| Apr 4, 2025 | 7.00 |
| Jan 3, 2025 | 8.09 |
| Sep 27, 2024 | 10.56 |
| Jun 28, 2024 | 8.91 |
| Mar 29, 2024 | 7.74 |
| Dec 29, 2023 | 8.29 |
| Sep 29, 2023 | 8.01 |
| Jun 30, 2023 | 8.87 |
| Mar 31, 2023 | 9.65 |
| Dec 30, 2022 | 9.78 |
| Sep 30, 2022 | 8.84 |
| Jul 1, 2022 | 9.46 |
| Apr 1, 2022 | 11.67 |
| Oct 1, 2021 | 13.09 |
| Jul 2, 2021 | 10.78 |
API Access
Exponent 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=EXPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "EXPO", "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=EXPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();