Kelly Services (KELYA) Net Short-Term Debt Issued (Repaid) (2009 - 2024)
Kelly Services' Current Debt came in at -$600,000 for Q4 2024.
Analysis
Kelly Services (KELYA) Net Short-Term Debt Issued (Repaid) (2009 - 2024) Analysis & Trends
For FY2023, Kelly Services' Current Debt was -$700,000.
- Going back by year, Current Debt was $800,000 in FY2022, -$1.7 million in FY2021 and -$300,000 in FY2019.
- The Q4 2024 figure represents the lowest quarterly Current Debt since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net ST Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | - |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | - |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 23.64 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 55.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | - |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 46.83 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | - |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | - |
| 10 | Kelly Services | 487.19 Mn | 382.19 Mn | 194.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 29, 2024 | -600,000.00 |
| Sep 29, 2024 | 600,000.00 |
| Apr 2, 2023 | -700,000.00 |
| Oct 2, 2022 | 200,000.00 |
| Jul 3, 2022 | -200,000.00 |
| Apr 3, 2022 | 200,000.00 |
| Oct 3, 2021 | -100,000.00 |
| Jul 4, 2021 | -900,000.00 |
| Apr 4, 2021 | 800,000.00 |
| Sep 27, 2020 | -100,000.00 |
| Jun 28, 2020 | -1.30 Mn |
| Mar 29, 2020 | -100,000.00 |
| Dec 29, 2019 | -15.50 Mn |
| Sep 29, 2019 | -1.90 Mn |
| Jun 30, 2019 | -54.90 Mn |
| Mar 31, 2019 | 72.00 Mn |
| Dec 30, 2018 | -5.90 Mn |
| Sep 30, 2018 | 6.50 Mn |
| Jul 1, 2018 | -31.60 Mn |
| Apr 1, 2018 | 23.20 Mn |
API Access
Kelly Services Net Short-Term Debt Issued (Repaid) 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=current-debt&ticker=KELYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();