Kelly Services (KELYA) Total Current Liabilities (2011 - 2026)
Kelly Services' Total Current Liabilities came in at $866.6 million for Q2 2026, up 4.8% from $826.7 million a year earlier and up 5.9% from the prior quarter.
Kelly Services (KELYA) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Kelly Services' Total Current Liabilities was $821.8 million, down 0.6% from FY2024.
- Total Current Liabilities has declined in each of the last three years, with a four-year compound annual growth rate of -2.9% (FY2021 to FY2025).
- Going back by year, Total Current Liabilities was $826.5 million in FY2024 (-19.0%), $1.02 billion in FY2023 (-9.6%), $1.13 billion in FY2022 and $925.6 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Total Current Liabilities since Q4 2023.
- Year-over-year, Total Current Liabilities increased in three of the last eight quarters, with an average decline of 4.0%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2026 (growth of 4.8%), and the weakest in Q1 2024 (a decline of 24.1%).
- Business Quant data shows KELYA's Total Current Liabilities at $818.6 million (Q1 2026), $821.8 million (Q4 2025) and $806.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 21.61 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.69 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 2.90 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.54 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 938.10 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 3.00 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 866.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 3.66 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | -6.00 Mn |
| 10 | Kelly Services | 519.95 Mn | 407.05 Mn | 212.00 Mn | 866.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 866.60 Mn |
| Mar 29, 2026 | 818.60 Mn |
| Dec 28, 2025 | 821.80 Mn |
| Sep 28, 2025 | 806.50 Mn |
| Jun 29, 2025 | 826.70 Mn |
| Mar 30, 2025 | 822.90 Mn |
| Dec 29, 2024 | 826.50 Mn |
| Sep 29, 2024 | 841.00 Mn |
| Jun 30, 2024 | 812.30 Mn |
| Mar 31, 2024 | 797.50 Mn |
| Dec 31, 2023 | 1.02 Bn |
| Oct 1, 2023 | 1.03 Bn |
| Jul 2, 2023 | 1.05 Bn |
| Apr 2, 2023 | 1.05 Bn |
| Jan 1, 2023 | 1.13 Bn |
| Oct 2, 2022 | 1.14 Bn |
| Jul 3, 2022 | 1.16 Bn |
| Apr 3, 2022 | 1.20 Bn |
| Jan 2, 2022 | 1.10 Bn |
| Oct 3, 2021 | 1.08 Bn |
Kelly Services Total 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-current-liabilities&ticker=KELYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=KELYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();