Paylocity Holding (PCTY) Change in Accured Expenses (2013 - 2026)
Paylocity Holding (PCTY) recorded Change in Accured Expenses of $6.22 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$511,000 a year earlier and down 70.5% from the prior quarter.
Paylocity Holding (PCTY) Change in Accured Expenses (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Paylocity Holding reported Change in Accured Expenses of $1.89 million, down 89.8% from FY2025.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -37.8% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Accured Expenses came in at $18.46 million in FY2025 (+38.6%), $13.32 million in FY2024 (-27.7%), $18.42 million in FY2023 (+8.8%) and $16.92 million in FY2022 (-16.6%).
- Quarterly Change in Accured Expenses has ranged from -$25.79 million in fiscal Q1 2022 to $39.13 million in fiscal Q3 2024 over the past five years.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 586.1% in fiscal Q2 2023, against a decline of 80.6% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $21.11 million (Q3 2026), -$7.08 million (Q2 2026) and -$18.36 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Paylocity Holding | 7.70 Bn | 6.80 Bn | 300.38 Mn | 6.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.22 Mn |
| Mar 31, 2026 | 21.11 Mn |
| Dec 31, 2025 | -7.08 Mn |
| Sep 30, 2025 | -18.36 Mn |
| Jun 30, 2025 | -511,000.00 |
| Mar 31, 2025 | 29.96 Mn |
| Dec 31, 2024 | -7.35 Mn |
| Sep 30, 2024 | -3.65 Mn |
| Jun 30, 2024 | -11.54 Mn |
| Mar 31, 2024 | 39.13 Mn |
| Dec 31, 2023 | -1.29 Mn |
| Sep 30, 2023 | -12.98 Mn |
| Jun 30, 2023 | 3.06 Mn |
| Mar 31, 2023 | 24.33 Mn |
| Dec 31, 2022 | 8.76 Mn |
| Sep 30, 2022 | -17.73 Mn |
| Jun 30, 2022 | 15.76 Mn |
| Mar 31, 2022 | 25.68 Mn |
| Dec 31, 2021 | 1.28 Mn |
| Sep 30, 2021 | -25.79 Mn |
Paylocity Holding Change in Accured Expenses 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=change-in-accured-expenses&ticker=PCTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "PCTY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=PCTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();