Kelly Services (KELYA) Total Non-Current Liabilities (2011 - 2026)
Kelly Services' Total Non-Current Liabilities was $432.1 million in Q2 2026, up 3.1% from $419.1 million a year earlier but down 7.7% from the prior quarter.
Kelly Services (KELYA) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Kelly Services came in at $452.3 million, down 20.8% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of 1.1% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $571.2 million in FY2024 (+85.5%), $308 million in FY2023 (+9.7%), $280.8 million in FY2022 and $433.3 million in FY2021.
- Quarterly Total Non-Current Liabilities has moved between $280.8 million (Q4 2022) and $571.2 million (Q4 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last eight quarters, with growth averaging 22.3%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2024 (growth of 95.8%); the worst was Q2 2025 (a decline of 21.8%).
- Per Business Quant data, KELYA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $467.9 million (Q1 2026), $452.3 million (Q4 2025) and $471.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 13.69 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 2.70 Bn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 22.86 Bn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 6.29 Bn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 1.79 Bn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 9.92 Bn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 1.41 Bn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 6.90 Bn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | -6.00 Mn |
| 10 | Kelly Services | 509.58 Mn | 396.68 Mn | 212.00 Mn | 432.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 432.10 Mn |
| Mar 29, 2026 | 467.90 Mn |
| Dec 28, 2025 | 452.30 Mn |
| Sep 28, 2025 | 471.50 Mn |
| Jun 29, 2025 | 419.10 Mn |
| Mar 30, 2025 | 531.50 Mn |
| Dec 29, 2024 | 571.20 Mn |
| Sep 29, 2024 | 566.00 Mn |
| Jun 30, 2024 | 536.00 Mn |
| Mar 31, 2024 | 321.10 Mn |
| Dec 31, 2023 | 308.00 Mn |
| Oct 1, 2023 | 289.00 Mn |
| Jul 2, 2023 | 298.20 Mn |
| Apr 2, 2023 | 289.90 Mn |
| Jan 1, 2023 | 280.80 Mn |
| Oct 2, 2022 | 286.20 Mn |
| Jul 3, 2022 | 297.30 Mn |
| Apr 3, 2022 | 315.80 Mn |
| Jan 2, 2022 | 462.80 Mn |
| Oct 3, 2021 | 451.40 Mn |
Kelly Services Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=KELYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();