Exponent (EXPO) Operating Expenses (2010 - 2026)
Exponent's Operating Expenses came in at $143.59 million for Q2 2027, up 15.1% from $124.79 million a year earlier and up 14.9% from the prior quarter.
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Analysis
Exponent (EXPO) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, Exponent reported Operating Expenses of $504.88 million, up 13.3% year-over-year; for FY2026, it was $462.23 million, up 5.3% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 5.3% (FY2021 to FY2026).
- Going back by year, Operating Expenses was $438.96 million in FY2025, $425.44 million in FY2023 (+14.2%) and $372.45 million in FY2022 (+4.2%).
- The Q2 2027 figure represents the highest quarterly Operating Expenses in data going back to Q1 2014.
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 10.2% over the last six quarters.
- Business Quant data shows EXPO's Operating Expenses at $124.92 million (Q1 2027), $118.29 million (Q4 2026) and $118.08 million (Q3 2026) in the three quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 15.54 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 841.66 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 1.66 Bn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 877.22 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 267.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 4.84 Bn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 1.30 Bn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | - |
| 10 | Exponent | 3.53 Bn | 2.91 Bn | - | 143.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 143.59 Mn |
| Apr 3, 2026 | 124.92 Mn |
| Jan 2, 2026 | 118.29 Mn |
| Oct 3, 2025 | 118.08 Mn |
| Jul 4, 2025 | 124.79 Mn |
| Apr 4, 2025 | 101.08 Mn |
| Jan 3, 2025 | 109.51 Mn |
| Sep 27, 2024 | 110.43 Mn |
| Jun 28, 2024 | 104.79 Mn |
| Mar 29, 2024 | 114.22 Mn |
| Dec 29, 2023 | 104.51 Mn |
| Sep 29, 2023 | 99.40 Mn |
| Jun 30, 2023 | 110.35 Mn |
| Mar 31, 2023 | 111.19 Mn |
| Dec 30, 2022 | 105.32 Mn |
| Sep 30, 2022 | 90.37 Mn |
| Jul 1, 2022 | 85.00 Mn |
| Apr 1, 2022 | 91.76 Mn |
| Dec 31, 2021 | 90.13 Mn |
| Oct 1, 2021 | 84.29 Mn |
API Access
Exponent Operating Expenses 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=operating-expenses&ticker=EXPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=EXPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();