Kelly Services (KELYA) Debt Ratio (2011 - 2024)
Kelly Services' (KELYA) Debt Ratio stood at 0.00 in Q3 2024.
Analysis
Kelly Services (KELYA) Debt Ratio (2011 - 2024) Analysis & Trends
Starting with Q4 2011, Kelly Services' Debt Ratio history includes 26 quarters.
- Across earlier years, Debt Ratio came in at 0.00 in FY2021, 0.00 in FY2019 (-19.4%) and 0.00 in FY2018 (-77.8%).
- The Q3 2024 figure is the highest quarterly Debt Ratio in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 0.07 |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 0.23 |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 0.79 |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 0.35 |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 0.21 |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 0.44 |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 0.10 |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 0.41 |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | -88.36 |
| 10 | Kelly Services | 514.92 Mn | 402.02 Mn | 212.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2024 | 0.00 |
| Jan 1, 2023 | 0.00 |
| Oct 2, 2022 | 0.00 |
| Apr 3, 2022 | 0.00 |
| Jul 4, 2021 | 0.00 |
| Apr 4, 2021 | 0.00 |
| Jan 3, 2021 | 0.00 |
| Sep 27, 2020 | 0.00 |
| Jun 28, 2020 | 0.00 |
| Mar 29, 2020 | 0.00 |
| Dec 29, 2019 | 0.00 |
| Sep 29, 2019 | 0.01 |
| Jun 30, 2019 | 0.01 |
| Mar 31, 2019 | 0.03 |
| Dec 30, 2018 | 0.00 |
| Sep 30, 2018 | 0.00 |
| Jul 1, 2018 | 0.00 |
| Apr 1, 2018 | 0.01 |
| Dec 31, 2017 | 0.00 |
| Oct 1, 2017 | 0.01 |
API Access
Kelly Services Debt Ratio 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=debt-ratio&ticker=KELYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();