Exponent (EXPO) Price to Book (2010 - 2026)
Exponent's Price to Book came in at 10.05 for Q2 2027, up 10.4% from 9.10 a year earlier and up 5.3% from the prior quarter.
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Analysis
Exponent (EXPO) Price to Book (2010 - 2026) Analysis & Trends
For FY2026, Exponent's Price to Book was 8.85, down 17.5% from FY2025.
- Going back by year, Price to Book was 10.73 in FY2025, 12.50 in FY2023 (-20.1%) and 15.64 in FY2022 (+7.3%).
- The Q2 2027 figure represents the highest quarterly Price to Book since Q4 2025.
- Year-over-year, Price to Book increased in two of the last six quarters, with an average decline of 14.5%.
- Business Quant data shows EXPO's Price to Book at 9.54 (Q1 2027), 8.85 (Q4 2026) and 8.31 (Q3 2026) in the three quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 152.43 Bn | 111.71 Bn | 6.13 Bn |
| 2 | Cintas | 89.87 Bn | 88.95 Bn | 1.55 Bn |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn |
| 4 | APi | 17.10 Bn | 14.14 Bn | 703.00 Mn |
| 5 | Rollins | 16.67 Bn | 16.22 Bn | 582.90 Mn |
| 6 | Gartner | 15.33 Bn | 9.02 Bn | 1.19 Bn |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn |
| 8 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - |
| 10 | Exponent | 3.77 Bn | 3.16 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 10.05 |
| Apr 3, 2026 | 9.54 |
| Jan 2, 2026 | 8.85 |
| Oct 3, 2025 | 8.31 |
| Jul 4, 2025 | 9.10 |
| Apr 4, 2025 | 8.86 |
| Jan 3, 2025 | 10.73 |
| Sep 27, 2024 | 14.01 |
| Jun 28, 2024 | 12.27 |
| Mar 29, 2024 | 11.19 |
| Dec 29, 2023 | 12.50 |
| Sep 29, 2023 | 12.25 |
| Jun 30, 2023 | 13.29 |
| Mar 31, 2023 | 14.82 |
| Dec 30, 2022 | 15.64 |
| Sep 30, 2022 | 13.88 |
| Jul 1, 2022 | 13.87 |
| Apr 1, 2022 | 14.52 |
| Dec 31, 2021 | 14.59 |
| Oct 1, 2021 | 14.74 |
API Access
Exponent Price to Book 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-book&ticker=EXPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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-book&ticker=EXPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();