Paylocity Holding (PCTY) Other Operating Expenses (2013 - 2026)
Paylocity Holding's Other Operating Expenses came in at $103.7 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.8% from $100.88 million a year earlier and up 8.3% from the prior quarter.
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Analysis
Paylocity Holding (PCTY) Other Operating Expenses (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Paylocity Holding's Other Operating Expenses was $393.88 million, up 5.3% from FY2025.
- Other Operating Expenses has increased in each of the last 14 fiscal years, with a five-year compound annual growth rate of 19.5% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was $374.22 million in FY2025 (+11.7%), $334.95 million in FY2024 (+12.9%), $296.72 million in FY2023 (+38.4%) and $214.46 million in FY2022 (+32.5%).
- The fiscal Q4 2026 figure represents the highest quarterly Other Operating Expenses in data going back to fiscal Q3 2013.
- Year-over-year, Other Operating Expenses has increased for 50 consecutive quarters, with growth averaging 8.6% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 2.8% (fiscal Q4 2026) and 45.0% (fiscal Q2 2023) over the last five years.
- Business Quant data shows PCTY's Other Operating Expenses at $95.73 million (Q3 2026), $98.08 million (Q2 2026) and $96.37 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Paylocity Holding | 7.59 Bn | 6.70 Bn | 300.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.70 Mn |
| Mar 31, 2026 | 95.73 Mn |
| Dec 31, 2025 | 98.08 Mn |
| Sep 30, 2025 | 96.37 Mn |
| Jun 30, 2025 | 100.88 Mn |
| Mar 31, 2025 | 91.77 Mn |
| Dec 31, 2024 | 93.13 Mn |
| Sep 30, 2024 | 88.43 Mn |
| Jun 30, 2024 | 88.01 Mn |
| Mar 31, 2024 | 86.76 Mn |
| Dec 31, 2023 | 79.78 Mn |
| Sep 30, 2023 | 80.40 Mn |
| Jun 30, 2023 | 75.90 Mn |
| Mar 31, 2023 | 74.06 Mn |
| Dec 31, 2022 | 75.69 Mn |
| Sep 30, 2022 | 71.06 Mn |
| Jun 30, 2022 | 59.60 Mn |
| Mar 31, 2022 | 52.75 Mn |
| Dec 31, 2021 | 52.22 Mn |
| Sep 30, 2021 | 49.89 Mn |
API Access
Paylocity Holding Other Operating 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=other-operating-expenses&ticker=PCTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=PCTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();