Exponent (EXPO) Price to Earnings (2011 - 2026)
Exponent's (EXPO) Price to Earnings was 25.94 for Q2 2027, down 31.5% from 37.86 a year earlier and down 12.5% from the prior quarter.
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Analysis
Exponent (EXPO) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2026, Price to Earnings at Exponent was 32.59, down 21.4% from FY2025.
- By year, Price to Earnings came in at 41.45 in FY2025, 44.37 in FY2023 (-9.5%) and 49.04 in FY2022 (-18.4%).
- The Q2 2027 figure ranks as the lowest quarterly Price to Earnings since Q4 2015.
- Year over year, Price to Earnings has now declined in each of the last six quarters, with an average decline of 23.6% over the last six quarters.
- Per Business Quant data, the three quarters before Q2 2027 came in at 29.64 (Q1 2027), 32.59 (Q4 2026) and 31.93 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - |
| 10 | Exponent | 3.53 Bn | 2.91 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 25.94 |
| Apr 3, 2026 | 29.64 |
| Jan 2, 2026 | 32.59 |
| Oct 3, 2025 | 31.93 |
| Jul 4, 2025 | 37.86 |
| Apr 4, 2025 | 37.07 |
| Jan 3, 2025 | 41.45 |
| Sep 27, 2024 | 54.06 |
| Jun 28, 2024 | 46.03 |
| Mar 29, 2024 | 41.34 |
| Dec 29, 2023 | 44.37 |
| Sep 29, 2023 | 42.51 |
| Jun 30, 2023 | 46.60 |
| Mar 31, 2023 | 49.76 |
| Dec 30, 2022 | 49.04 |
| Sep 30, 2022 | 44.31 |
| Jul 1, 2022 | 46.67 |
| Apr 1, 2022 | 56.16 |
| Dec 31, 2021 | 60.11 |
| Oct 1, 2021 | 58.15 |
API Access
Exponent 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=EXPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=EXPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();