Exponent (EXPO) Selling, General & Administrative (2010 - 2026)
Exponent's Selling, General & Administrative was $7.4 million in Q2 2027, up 20.5% from $6.15 million a year earlier and up 19.3% from the prior quarter.
Exponent (EXPO) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Exponent's Selling, General & Administrative was $27.98 million through Jul 3, 2026, up 26.0% year-over-year; for FY2026, it came in at $25.52 million, up 12.3% from FY2025.
- Selling, General & Administrative shows a five-year compound annual growth rate of 10.8% (FY2021 to FY2026).
- In earlier years, Selling, General & Administrative was $22.73 million in FY2025, $24.44 million in FY2023 (+3.3%) and $23.66 million in FY2022 (+54.8%).
- Quarterly Selling, General & Administrative has moved between $5.01 million (Q1 2026) and $7.65 million (Q3 2026) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 16.0% over the last six quarters.
- Per Business Quant data, EXPO's Selling, General & Administrative in the three quarters before Q2 2027 was $6.2 million (Q1 2027), $6.72 million (Q4 2026) and $7.65 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 151.50 Bn | 110.78 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 89.81 Bn | 88.89 Bn | 1.55 Bn | 827.24 Mn |
| 3 | Iron Mountain | 32.82 Bn | 32.01 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 17.21 Bn | 14.25 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 16.59 Bn | 16.13 Bn | 582.90 Mn | 326.77 Mn |
| 6 | Gartner | 15.42 Bn | 9.11 Bn | 1.19 Bn | 764.59 Mn |
| 7 | UL Solutions | 14.73 Bn | 13.49 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Aramark | 13.88 Bn | 11.83 Bn | 430.34 Mn | 78.63 Mn |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - | - |
| 10 | Exponent | 3.78 Bn | 3.16 Bn | - | 7.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 7.40 Mn |
| Apr 3, 2026 | 6.20 Mn |
| Jan 2, 2026 | 6.72 Mn |
| Oct 3, 2025 | 7.65 Mn |
| Jul 4, 2025 | 6.15 Mn |
| Apr 4, 2025 | 5.01 Mn |
| Jan 3, 2025 | 5.74 Mn |
| Sep 27, 2024 | 5.31 Mn |
| Jun 28, 2024 | 6.04 Mn |
| Mar 29, 2024 | 5.64 Mn |
| Dec 29, 2023 | 5.94 Mn |
| Sep 29, 2023 | 6.02 Mn |
| Jun 30, 2023 | 6.64 Mn |
| Mar 31, 2023 | 5.84 Mn |
| Dec 30, 2022 | 6.96 Mn |
| Sep 30, 2022 | 6.73 Mn |
| Jul 1, 2022 | 5.74 Mn |
| Apr 1, 2022 | 4.23 Mn |
| Dec 31, 2021 | 4.66 Mn |
| Oct 1, 2021 | 4.19 Mn |
Exponent Selling, General & Administrative 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=selling-general-and-administrative&ticker=EXPO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=EXPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();