Paid (PAYD) Other Operating Expenses (2010 - 2026)
Paid's Other Operating Expenses was $841,455 in Q2 2026, down 28.5% from $1.18 million a year earlier but up 4.2% from the prior quarter.
Paid (PAYD) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Paid's Other Operating Expenses was $3.37 million through Jun 30, 2026, up 11.0% year-over-year; for FY2025, it was $3.55 million, up 37.2% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $2.59 million in FY2024 (-13.3%), $2.99 million in FY2023 (+24.6%), $2.4 million in FY2022 (-17.3%) and $2.9 million in FY2021 (-34.3%).
- Quarterly Other Operating Expenses has moved between $483,112 (Q4 2024) and $1.18 million (Q2 2025) over five years.
- Compared with a year earlier, Other Operating Expenses was higher in five of the last eight quarters, with growth averaging 17.0%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q4 2025 (growth of 76.7%); the worst was Q4 2021 (a decline of 73.4%).
- Per Business Quant data, PAYD's Other Operating Expenses in the three quarters before Q2 2026 was $807,434 (Q1 2026), $853,866 (Q4 2025) and $866,804 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Paid | 17.04 Mn | 12.75 Mn | 1.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 841,455.00 |
| Mar 31, 2026 | 807,434.00 |
| Dec 31, 2025 | 853,866.00 |
| Sep 30, 2025 | 866,804.00 |
| Jun 30, 2025 | 1.18 Mn |
| Mar 31, 2025 | 654,083.00 |
| Dec 31, 2024 | 483,112.00 |
| Sep 30, 2024 | 720,688.00 |
| Jun 30, 2024 | 700,537.00 |
| Mar 31, 2024 | 684,724.00 |
| Dec 31, 2023 | 716,638.00 |
| Sep 30, 2023 | 636,297.00 |
| Jun 30, 2023 | 670,081.00 |
| Mar 31, 2023 | 962,105.00 |
| Dec 31, 2022 | 635,793.00 |
| Sep 30, 2022 | 638,818.00 |
| Jun 30, 2022 | 563,184.00 |
| Mar 31, 2022 | 558,644.00 |
| Dec 31, 2021 | 712,050.00 |
| Sep 30, 2021 | 647,419.00 |
Paid 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=PAYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "PAYD", "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=PAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();