Exponent (EXPO) EV to EBITDA (2011 - 2026)
Exponent's EV to EBITDA came in at 20.55 for Q2 2027, down 30.1% from 29.39 a year earlier and down 16.2% from the prior quarter.
Exponent (EXPO) EV to EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, Exponent reported EV to EBITDA of 16.58, down 29.7% year-over-year; for FY2026, it was 24.90, down 24.5% from FY2025.
- Going back by year, EV to EBITDA was 32.96 in FY2025, 35.47 in FY2023 (+8.0%) and 32.83 in FY2022 (-34.5%).
- The Q2 2027 figure represents the lowest quarterly EV to EBITDA since Q3 2016.
- Year-over-year, EV to EBITDA has declined for six consecutive quarters, with an average decline of 24.3% over the last six quarters.
- Business Quant data shows EXPO's EV to EBITDA at 24.52 (Q1 2027), 24.90 (Q4 2026) and 24.54 (Q3 2026) in the three quarters before Q2 2027.
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
| Date | Value |
|---|---|
| Jul 3, 2026 | 20.55 |
| Apr 3, 2026 | 24.52 |
| Jan 2, 2026 | 24.90 |
| Oct 3, 2025 | 24.54 |
| Jul 4, 2025 | 29.39 |
| Apr 4, 2025 | 25.61 |
| Jan 3, 2025 | 32.96 |
| Sep 27, 2024 | 45.97 |
| Jun 28, 2024 | 36.02 |
| Mar 29, 2024 | 32.92 |
| Dec 29, 2023 | 35.47 |
| Sep 29, 2023 | 34.02 |
| Jun 30, 2023 | 36.60 |
| Mar 31, 2023 | 35.14 |
| Dec 30, 2022 | 32.83 |
| Sep 30, 2022 | 27.82 |
| Jul 1, 2022 | 30.22 |
| Apr 1, 2022 | 40.48 |
| Dec 31, 2021 | 47.94 |
| Oct 1, 2021 | 51.86 |
Exponent EV to EBITDA 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=ev-to-ebitda&ticker=EXPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=EXPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();