Pinterest (PINS) Accumulated Expenses (2018 - 2026)
Pinterest's Accumulated Expenses was $464.66 million in Q2 2026, up 49.9% from $309.94 million a year earlier and up 1.9% from the prior quarter.
Pinterest (PINS) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Pinterest came in at $335.66 million, up 6.9% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 16.7% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $314.11 million in FY2024 (+32.0%), $238.03 million in FY2023 (-18.7%), $292.61 million in FY2022 (+20.8%) and $242.13 million in FY2021 (+55.9%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2018.
- Compared with a year earlier, Accumulated Expenses has increased for ten straight quarters, with growth averaging 25.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2021 (growth of 55.9%); the worst was Q4 2023 (a decline of 18.7%).
- Per Business Quant data, PINS's Accumulated Expenses in the three quarters before Q2 2026 was $455.78 million (Q1 2026), $335.66 million (Q4 2025) and $335.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn |
| 10 | 12.58 Bn | 4.86 Bn | 922.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 464.66 Mn |
| Mar 31, 2026 | 455.78 Mn |
| Dec 31, 2025 | 335.66 Mn |
| Sep 30, 2025 | 335.74 Mn |
| Jun 30, 2025 | 309.94 Mn |
| Mar 31, 2025 | 307.71 Mn |
| Dec 31, 2024 | 314.11 Mn |
| Sep 30, 2024 | 320.43 Mn |
| Jun 30, 2024 | 293.78 Mn |
| Mar 31, 2024 | 256.23 Mn |
| Dec 31, 2023 | 238.03 Mn |
| Sep 30, 2023 | 232.86 Mn |
| Jun 30, 2023 | 255.80 Mn |
| Mar 31, 2023 | 244.64 Mn |
| Dec 31, 2022 | 292.61 Mn |
| Sep 30, 2022 | 256.07 Mn |
| Jun 30, 2022 | 292.95 Mn |
| Mar 31, 2022 | 213.02 Mn |
| Dec 31, 2021 | 242.13 Mn |
| Sep 30, 2021 | 183.38 Mn |
Pinterest 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=PINS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PINS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();