Exponent (EXPO) Change in Accured Expenses (2010 - 2026)
Exponent's Change in Accured Expenses was $3.53 million in Q2 2027, down 7.2% from $3.8 million a year earlier.
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Analysis
Exponent (EXPO) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Exponent's Change in Accured Expenses was $6.35 million through Jul 3, 2026; for FY2026, it came in at $7.68 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of -17.7% (FY2021 to FY2026).
- In earlier years, Change in Accured Expenses was $495,000 in FY2025, -$5.06 million in FY2023 and $6.49 million in FY2022 (-68.1%).
- Quarterly Change in Accured Expenses has moved between -$29.62 million (Q1 2025) and $19.21 million (Q4 2026) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 65.4%.
- Per Business Quant data, EXPO's Change in Accured Expenses in the three quarters before Q2 2027 was -$28.63 million (Q1 2027), $19.21 million (Q4 2026) and $12.25 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 152.43 Bn | 111.71 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 89.87 Bn | 88.95 Bn | 1.55 Bn | -77.80 Mn |
| 3 | Iron Mountain | 32.78 Bn | 31.97 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.10 Bn | 14.14 Bn | 703.00 Mn | - |
| 5 | Rollins | 16.67 Bn | 16.22 Bn | 582.90 Mn | 32.99 Mn |
| 6 | Gartner | 15.33 Bn | 9.02 Bn | 1.19 Bn | 53.59 Mn |
| 7 | UL Solutions | 14.83 Bn | 13.59 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | -6.96 Mn |
| 9 | Rentokil Initial | 11.49 Bn | 5.00 Bn | - | - |
| 10 | Exponent | 3.77 Bn | 3.16 Bn | - | 3.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 3.53 Mn |
| Apr 3, 2026 | -28.63 Mn |
| Jan 2, 2026 | 19.21 Mn |
| Oct 3, 2025 | 12.25 Mn |
| Jul 4, 2025 | 3.80 Mn |
| Apr 4, 2025 | -27.57 Mn |
| Jan 3, 2025 | 16.09 Mn |
| Sep 27, 2024 | 2.95 Mn |
| Jun 28, 2024 | 11.07 Mn |
| Mar 29, 2024 | -29.62 Mn |
| Dec 29, 2023 | 8.07 Mn |
| Sep 29, 2023 | 3.06 Mn |
| Jun 30, 2023 | 12.38 Mn |
| Mar 31, 2023 | -28.56 Mn |
| Dec 30, 2022 | 17.71 Mn |
| Sep 30, 2022 | 4.47 Mn |
| Jul 1, 2022 | 11.90 Mn |
| Apr 1, 2022 | -27.58 Mn |
| Dec 31, 2021 | 14.55 Mn |
| Oct 1, 2021 | -5.94 Mn |
API Access
Exponent Change in Accured 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=change-in-accured-expenses&ticker=EXPO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=EXPO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();