Barrett Business Services (BBSI) Change in Accured Expenses (2010 - 2026)
Barrett Business Services' Change in Accured Expenses came in at $9.5 million for Q2 2026, up 10.9% from $8.56 million a year earlier but down 62.2% from the prior quarter.
Barrett Business Services (BBSI) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Barrett Business Services reported Change in Accured Expenses of $32.98 million, down 33.0% year-over-year; for FY2025, it came in at $22.6 million, down 59.0% from FY2024.
- Going back by year, Change in Accured Expenses was $55.17 million in FY2024 (+868.2%), $5.7 million in FY2023 (-53.4%), $12.22 million in FY2022 (-75.4%) and $49.74 million in FY2021.
- The five-year range for quarterly Change in Accured Expenses is -$51.05 million (Q4 2021) to $85.9 million (Q1 2022).
- Year-over-year, Change in Accured Expenses increased in three of the last six quarters, with growth averaging 64.0%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q2 2024 (growth of 413.6%), and the weakest in Q1 2023 (a decline of 83.8%).
- Business Quant data shows BBSI's Change in Accured Expenses at $25.12 million (Q1 2026), -$40.35 million (Q4 2025) and $38.72 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 967.46 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 60.14 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 183.83 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | - |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | -6.96 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 81.49 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 83.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 53.59 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Barrett Business Services | 734.47 Mn | 307.77 Mn | 64.85 Mn | 9.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.50 Mn |
| Mar 31, 2026 | 25.12 Mn |
| Dec 31, 2025 | -40.35 Mn |
| Sep 30, 2025 | 38.72 Mn |
| Jun 30, 2025 | 8.56 Mn |
| Mar 31, 2025 | 15.67 Mn |
| Dec 31, 2024 | -18.31 Mn |
| Sep 30, 2024 | 43.34 Mn |
| Jun 30, 2024 | 13.16 Mn |
| Mar 31, 2024 | 16.98 Mn |
| Dec 31, 2023 | -20.10 Mn |
| Sep 30, 2023 | 9.29 Mn |
| Jun 30, 2023 | 2.56 Mn |
| Mar 31, 2023 | 13.94 Mn |
| Dec 31, 2022 | -20.87 Mn |
| Sep 30, 2022 | -50.70 Mn |
| Jun 30, 2022 | -2.10 Mn |
| Mar 31, 2022 | 85.90 Mn |
| Dec 31, 2021 | -51.05 Mn |
| Sep 30, 2021 | 13.77 Mn |
Barrett Business Services 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=BBSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "BBSI", "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=BBSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();