Kelly Services (KELYA) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Kelly Services' Non-Current Debt came in at $100,000 for Q4 2022, down 98.2% from $5.6 million a year earlier.
Analysis
Kelly Services (KELYA) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
For FY2022, Kelly Services' Non-Current Debt was $5.9 million, up 5.4% from FY2021.
- Non-Current Debt carries a five-year compound annual growth rate of 58.0% (FY2017 to FY2022).
- Going back by year, Non-Current Debt was $5.6 million in FY2021, -$4.4 million in FY2019 and -$7 million in FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 4.98 Bn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 570.11 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | - |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | -7.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 463.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | -9.27 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 | 44.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 44.40 Mn |
| Jun 28, 2026 | -52.40 Mn |
| Mar 29, 2026 | 28.60 Mn |
| Dec 28, 2025 | -16.50 Mn |
| Sep 28, 2025 | 44.10 Mn |
| Jun 29, 2025 | -130.30 Mn |
| Mar 30, 2025 | -34.80 Mn |
| Dec 29, 2024 | 11.20 Mn |
| Sep 29, 2024 | 17.80 Mn |
| Jun 30, 2024 | 210.40 Mn |
| Dec 31, 2023 | -200,000.00 |
| Oct 1, 2023 | -500,000.00 |
| Jul 2, 2023 | -100,000.00 |
| Apr 2, 2023 | -400,000.00 |
| Oct 2, 2022 | -800,000.00 |
| Jul 3, 2022 | -100,000.00 |
| Apr 3, 2022 | -300,000.00 |
| Dec 31, 2021 | 100,000.00 |
| Jul 4, 2021 | -100,000.00 |
| Apr 4, 2021 | -200,000.00 |
API Access
Kelly Services Net Long-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=non-current-debt&ticker=KELYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-debt&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();