Paid (PAYD) Accumulated Expenses (2009 - 2026)
Paid (PAYD) reported Accumulated Expenses of $181,284 for Q2 2026, down 30.5% from $260,838 a year earlier and down 31.2% from the prior quarter.
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Analysis
Paid (PAYD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Paid posted Accumulated Expenses of $332,973, down 24.1% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $438,912 in FY2024 (+4.4%), $420,611 in FY2023 (-2.4%), $430,858 in FY2022 (+14.5%) and $376,387 in FY2021 (+36.2%).
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Expenses in data going back to Q4 2009.
- Year over year, Accumulated Expenses has now declined in each of the last three quarters, with an average decline of 15.4% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2022 (growth of 38.1%); the low point was Q2 2025 (a decline of 50.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $263,330 (Q1 2026), $332,973 (Q4 2025) and $509,926 (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 181,284.00 |
| Mar 31, 2026 | 263,330.00 |
| Dec 31, 2025 | 332,973.00 |
| Sep 30, 2025 | 509,926.00 |
| Jun 30, 2025 | 260,838.00 |
| Mar 31, 2025 | 348,770.00 |
| Dec 31, 2024 | 438,912.00 |
| Sep 30, 2024 | 507,235.00 |
| Jun 30, 2024 | 526,184.00 |
| Mar 31, 2024 | 392,998.00 |
| Dec 31, 2023 | 420,611.00 |
| Sep 30, 2023 | 448,616.00 |
| Jun 30, 2023 | 401,048.00 |
| Mar 31, 2023 | 347,610.00 |
| Dec 31, 2022 | 430,858.00 |
| Sep 30, 2022 | 558,971.00 |
| Jun 30, 2022 | 421,212.00 |
| Mar 31, 2022 | 564,723.00 |
| Dec 31, 2021 | 376,387.00 |
| Sep 30, 2021 | 404,682.00 |
API Access
Paid Accumulated 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=accumulated-expenses&ticker=PAYD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=PAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();