Gee (JOB) Change in Accrued Expenses (2009 - 2026)
Gee's Change in Accured Expenses was -$834,000 in fiscal Q1 2020 (quarter ended Dec 31, 2019), compared with -$997,000 a year earlier.
Gee (JOB) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Gee's Change in Accured Expenses was -$859,000 through Dec 31, 2019; for FY2018 (ended Sep 30, 2018), it was -$2.18 million.
- In earlier fiscal years, Change in Accured Expenses was $214,000 in FY2017, -$871,000 in FY2016, $54,000 in FY2015 and -$100,000 in FY2014.
- Quarterly Change in Accured Expenses has moved between -$1.7 million (fiscal Q2 2018) and $1.24 million (fiscal Q4 2015) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 529.75 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | -77.80 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | -148.01 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 32.99 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | - |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 52.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | -6.96 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 7.27 Mn |
| 10 | Gee | 658.12 Mn | 576.01 Mn | 8.28 Mn | -287,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -287,000.00 |
| Mar 31, 2026 | 1.06 Mn |
| Dec 31, 2025 | -1.62 Mn |
| Sep 30, 2025 | 527,000.00 |
| Jun 30, 2025 | -489,000.00 |
| Mar 31, 2025 | 1.38 Mn |
| Dec 31, 2024 | -2.12 Mn |
| Sep 30, 2024 | 915,000.00 |
| Jun 30, 2024 | -28,000.00 |
| Mar 31, 2024 | 978,000.00 |
| Dec 31, 2023 | -2.11 Mn |
| Sep 30, 2023 | 793,000.00 |
| Jun 30, 2023 | -909,000.00 |
| Mar 31, 2023 | 745,000.00 |
| Dec 31, 2022 | -915,000.00 |
| Sep 30, 2022 | -171,000.00 |
| Jun 30, 2022 | 98,000.00 |
| Mar 31, 2022 | 919,000.00 |
| Dec 31, 2021 | -1.51 Mn |
| Sep 30, 2021 | 1.08 Mn |
Gee Change in Accrued 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=JOB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "JOB", "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=JOB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();