Exponent (EXPO) EBITDA (2010 - 2026)
Exponent (EXPO) recorded EBITDA of $30.7 million in Q2 2027, up 55.9% from $19.7 million a year earlier but down 30.1% from the prior quarter.
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Analysis
Exponent (EXPO) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Exponent's EBITDA came in at $137.84 million as of Jul 3, 2026, up 10.6% year-over-year; for FY2026, it came in at $129.87 million, up 0.5% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of 2.4% (FY2021 to FY2026).
- Across earlier years, EBITDA came in at $129.25 million in FY2025, $120.24 million in FY2023 (-18.7%) and $147.92 million in FY2022 (+28.2%).
- Quarterly EBITDA has ranged from $19.7 million in Q2 2026 to $46.92 million in Q1 2026 over the past five years.
- On a year-over-year basis, EBITDA rose in four of the last six quarters, with growth averaging 10.2%.
- Per Business Quant, the preceding three quarters came in at $43.89 million (Q1 2027), $31.68 million (Q4 2026) and $31.57 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 839.21 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 234.97 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 196.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 351.69 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 425.01 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Exponent | 3.53 Bn | 2.91 Bn | - | 30.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 30.70 Mn |
| Apr 3, 2026 | 43.89 Mn |
| Jan 2, 2026 | 31.68 Mn |
| Oct 3, 2025 | 31.57 Mn |
| Jul 4, 2025 | 19.70 Mn |
| Apr 4, 2025 | 46.92 Mn |
| Jan 3, 2025 | 29.74 Mn |
| Sep 27, 2024 | 28.24 Mn |
| Jun 28, 2024 | 38.23 Mn |
| Mar 29, 2024 | 33.04 Mn |
| Dec 29, 2023 | 20.78 Mn |
| Sep 29, 2023 | 36.29 Mn |
| Jun 30, 2023 | 32.06 Mn |
| Mar 31, 2023 | 31.11 Mn |
| Dec 30, 2022 | 23.89 Mn |
| Sep 30, 2022 | 38.54 Mn |
| Jul 1, 2022 | 47.09 Mn |
| Apr 1, 2022 | 38.41 Mn |
| Dec 31, 2021 | 30.20 Mn |
| Oct 1, 2021 | 33.76 Mn |
API Access
Exponent 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=ebitda&ticker=EXPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=EXPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();