Exponent (EXPO) Accumulated Expenses (2011 - 2026)
Exponent's Accumulated Expenses came in at $24.07 million for Q4 2026, up 42.7% from $16.86 million a year earlier.
Analysis
Exponent (EXPO) Accumulated Expenses (2011 - 2026) Analysis & Trends
Going back to Q4 2014, Exponent's Accumulated Expenses data covers 5 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- Going back by year, Accumulated Expenses was $16.86 million in FY2025, $17.64 million in FY2023 (-13.9%) and $20.47 million in FY2022 (-3.9%).
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 |
|---|---|
| Jan 2, 2026 | 24.07 Mn |
| Jan 3, 2025 | 16.86 Mn |
| Dec 29, 2023 | 17.64 Mn |
| Dec 30, 2022 | 20.47 Mn |
| Dec 31, 2021 | 21.31 Mn |
| Jan 1, 2021 | 13.05 Mn |
| Jan 3, 2020 | 13.94 Mn |
| Dec 28, 2018 | 9.73 Mn |
| Dec 29, 2017 | 11.96 Mn |
| Dec 30, 2016 | 6.88 Mn |
| Jan 1, 2016 | 6.96 Mn |
| Jan 2, 2015 | 6.71 Mn |
| Jan 3, 2014 | 5.64 Mn |
| Dec 28, 2012 | 3.38 Mn |
| Dec 30, 2011 | 2.52 Mn |
API Access
Exponent Accumulated 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=accumulated-expenses&ticker=EXPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EXPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();