Paid (PAYD) Total Liabilities (2009 - 2026)
Paid (PAYD) posted Total Liabilities of $2.74 million for Q2 2026, down 13.8% from $3.18 million a year earlier and unchanged from the prior quarter.
Analysis
Paid (PAYD) Total Liabilities (2009 - 2026) Analysis & Trends
Since Q4 2009, Paid has reported Total Liabilities for 62 quarters.
- Annual Total Liabilities shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Paid's Total Liabilities was $3.41 million in FY2024 (+20.5%), $2.83 million in FY2023 (-15.9%), $3.37 million in FY2022 (-6.1%) and $3.59 million in FY2021 (+27.9%).
- Quarterly Total Liabilities has run from a low of $2.74 million in Q4 2025 to a high of $3.68 million in Q2 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last five quarters, with an average decline of 1.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 27.9%; the weakest was Q3 2023, with a decline of 20.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.74 million (Q1 2026), $2.74 million (Q4 2025) and $3.18 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | Paid | 20.86 Mn | 16.57 Mn | 1.22 Mn | 2.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.74 Mn |
| Mar 31, 2026 | 2.74 Mn |
| Dec 31, 2025 | 2.74 Mn |
| Sep 30, 2025 | 3.18 Mn |
| Jun 30, 2025 | 3.18 Mn |
| Mar 31, 2025 | 3.01 Mn |
| Dec 31, 2024 | 3.41 Mn |
| Sep 30, 2024 | 3.32 Mn |
| Jun 30, 2024 | 3.26 Mn |
| Mar 31, 2024 | 2.92 Mn |
| Dec 31, 2023 | 2.83 Mn |
| Sep 30, 2023 | 2.83 Mn |
| Jun 30, 2023 | 2.97 Mn |
| Mar 31, 2023 | 2.95 Mn |
| Dec 31, 2022 | 3.37 Mn |
| Sep 30, 2022 | 3.56 Mn |
| Jun 30, 2022 | 3.68 Mn |
| Mar 31, 2022 | 3.64 Mn |
| Dec 31, 2021 | 3.59 Mn |
| Sep 30, 2021 | 3.10 Mn |
API Access
Paid Total 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-liabilities&ticker=PAYD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PAYD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();