Pinterest (PINS) Total Liabilities (2018 - 2026)
Pinterest (PINS) posted Total Liabilities of $1.87 billion for Q2 2026, up 215.6% from $591.03 million a year earlier and up 3.9% from the prior quarter.
Pinterest (PINS) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Pinterest's Total Liabilities came in at $746.89 million, up 26.3% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 15.3% (FY2020 to FY2025).
- In prior years, Pinterest's Total Liabilities was $591.51 million in FY2024 (+17.4%), $503.73 million in FY2023 (-13.3%), $581.08 million in FY2022 (+16.6%) and $498.5 million in FY2021 (+35.8%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2018.
- On a year-over-year basis, Total Liabilities has increased in each of the last ten quarters, with growth averaging 64.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 215.6%; the weakest was Q4 2023, with a decline of 13.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $1.79 billion (Q1 2026), $746.89 million (Q4 2025) and $690.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 31.74 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 6.13 Bn |
| 10 | 12.58 Bn | 4.86 Bn | 922.30 Mn | 1.87 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.87 Bn |
| Mar 31, 2026 | 1.79 Bn |
| Dec 31, 2025 | 746.89 Mn |
| Sep 30, 2025 | 690.44 Mn |
| Jun 30, 2025 | 591.03 Mn |
| Mar 31, 2025 | 594.23 Mn |
| Dec 31, 2024 | 591.51 Mn |
| Sep 30, 2024 | 597.25 Mn |
| Jun 30, 2024 | 549.46 Mn |
| Mar 31, 2024 | 522.88 Mn |
| Dec 31, 2023 | 503.73 Mn |
| Sep 30, 2023 | 497.94 Mn |
| Jun 30, 2023 | 508.71 Mn |
| Mar 31, 2023 | 506.68 Mn |
| Dec 31, 2022 | 581.08 Mn |
| Sep 30, 2022 | 547.67 Mn |
| Jun 30, 2022 | 557.94 Mn |
| Mar 31, 2022 | 458.53 Mn |
| Dec 31, 2021 | 498.50 Mn |
| Sep 30, 2021 | 454.42 Mn |
Pinterest 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=PINS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "PINS", "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=PINS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();