Kelly Services (KELYA) Other Accumulated Expenses (2011 - 2023)
Kelly Services' Other Accumulated Expenses was $22.9 million in FY2022.
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Analysis
Kelly Services (KELYA) Other Accumulated Expenses (2011 - 2023) Analysis & Trends
From FY2011 onward, Kelly Services has reported Other Accumulated Expenses for 10 years.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -2.3% (FY2017 to FY2022).
- The FY2022 figure marks the highest annual Other Accumulated Expenses since FY2019.
- Per Business Quant data, Other Accumulated Expenses in earlier years was $22.7 million in FY2021, $25.7 million in FY2019 (-1.2%) and $26 million in FY2018 (+1.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - |
| 10 | Kelly Services | 494.17 Mn | 381.27 Mn | 212.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 1, 2023 | 22.90 Mn |
| Apr 3, 2022 | 20.40 Mn |
| Jan 2, 2022 | 20.80 Mn |
| Oct 3, 2021 | 21.10 Mn |
| Jul 4, 2021 | 22.00 Mn |
| Apr 4, 2021 | 21.90 Mn |
| Jan 3, 2021 | 22.70 Mn |
| Sep 27, 2020 | 25.00 Mn |
| Jun 28, 2020 | 25.60 Mn |
| Mar 29, 2020 | 26.10 Mn |
| Dec 29, 2019 | 25.70 Mn |
| Sep 29, 2019 | 25.10 Mn |
| Jun 30, 2019 | 25.10 Mn |
| Mar 31, 2019 | 24.40 Mn |
| Dec 30, 2018 | 26.00 Mn |
| Sep 30, 2018 | 25.90 Mn |
| Jul 1, 2018 | 25.30 Mn |
| Apr 1, 2018 | 25.30 Mn |
| Dec 31, 2017 | 25.70 Mn |
| Oct 1, 2017 | 25.60 Mn |
API Access
Kelly Services Other Accumulated 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=other-accumulated-expenses&ticker=KELYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "KELYA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();