Shimmick (SHIM) Change in Accured Expenses (2022 - 2026)
Shimmick's Change in Accured Expenses came in at -$5.75 million for Q2 2027, compared with $8.09 million a year earlier.
Shimmick (SHIM) Change in Accured Expenses (2022 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, Shimmick reported Change in Accured Expenses of -$5.85 million; for FY2026, it came in at -$4.38 million.
- Going back by year, Change in Accured Expenses was $9.94 million in FY2025, -$26.86 million in FY2023 and $31.47 million in FY2022.
- The Q2 2027 figure represents the lowest quarterly Change in Accured Expenses since Q1 2026.
- Business Quant data shows SHIM's Change in Accured Expenses at $5.5 million (Q1 2027), -$1.36 million (Q4 2026) and -$4.24 million (Q3 2026) in the three quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 81.82 Bn | 79.89 Bn | 1.55 Bn | 762.98 Mn |
| 2 | Ferrovial | 35.55 Bn | 13.80 Bn | - | - |
| 3 | Emcor | 28.96 Bn | 25.36 Bn | 1.02 Bn | - |
| 4 | Jacobs Solutions | 16.95 Bn | 11.61 Bn | 810.70 Mn | -74.92 Mn |
| 5 | Mastec | 13.29 Bn | 12.07 Bn | 556.28 Mn | 143.25 Mn |
| 6 | Sterling Infrastructure | 11.03 Bn | 9.36 Bn | 289.96 Mn | - |
| 7 | IES Holdings | 8.71 Bn | 7.57 Bn | 340.66 Mn | 72.13 Mn |
| 8 | Stantec | 8.08 Bn | 7.01 Bn | 1.36 Bn | - |
| 9 | Aecom | 7.58 Bn | 2.70 Bn | -34.04 Mn | 34.76 Mn |
| 10 | Shimmick | 87.43 Mn | 18.03 Mn | 12.45 Mn | -5.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | -5.75 Mn |
| Apr 3, 2026 | 5.50 Mn |
| Jan 2, 2026 | -1.36 Mn |
| Oct 3, 2025 | -4.24 Mn |
| Jul 4, 2025 | 8.09 Mn |
| Apr 4, 2025 | -6.87 Mn |
| Jan 3, 2025 | -24.23 Mn |
| Sep 27, 2024 | 28.99 Mn |
| Jun 28, 2024 | 1.80 Mn |
| Mar 29, 2024 | 3.38 Mn |
| Dec 29, 2023 | -4.82 Mn |
| Sep 29, 2023 | -2.71 Mn |
| Jun 30, 2023 | 1.73 Mn |
| Mar 31, 2023 | -21.07 Mn |
| Dec 30, 2022 | 12.20 Mn |
Shimmick 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=SHIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SHIM", "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=SHIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();