Pinterest (PINS) Other Operating Expenses (2018 - 2026)
Pinterest's Other Operating Expenses was $1.03 billion in Q3 2026, up 16.6% from $880.26 million a year earlier but down 5.2% from the prior quarter.
Pinterest (PINS) Other Operating Expenses (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pinterest's Other Operating Expenses was $3.94 billion through Sep 30, 2026, up 18.4% year-over-year; for FY2025, it was $3.44 billion, up 14.4% from FY2024.
- Other Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $3 billion in FY2024 (+17.7%), $2.55 billion in FY2023 (+0.2%), $2.55 billion in FY2022 (+31.1%) and $1.94 billion in FY2021 (+29.6%).
- Quarterly Other Operating Expenses has moved between $514.37 million (Q1 2022) and $1.08 billion (Q2 2026) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for 11 straight quarters, with growth averaging 16.5% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2022 (growth of 40.1%); the worst was Q4 2023 (a decline of 10.5%).
- Per Business Quant data, PINS's Other Operating Expenses in the three quarters before Q3 2026 was $1.08 billion (Q2 2026), $937.19 million (Q1 2026) and $894.85 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - |
| 10 | 10.76 Bn | 4.25 Bn | 912.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 598.58 Mn |
| Jun 30, 2026 | 631.63 Mn |
| Mar 31, 2026 | 556.40 Mn |
| Dec 31, 2025 | 529.95 Mn |
| Sep 30, 2025 | 509.00 Mn |
| Jun 30, 2025 | 516.08 Mn |
| Mar 31, 2025 | 453.19 Mn |
| Dec 31, 2024 | 468.05 Mn |
| Sep 30, 2024 | 436.49 Mn |
| Jun 30, 2024 | 450.21 Mn |
| Mar 31, 2024 | 407.38 Mn |
| Dec 31, 2023 | 418.96 Mn |
| Sep 30, 2023 | 396.93 Mn |
| Jun 30, 2023 | 411.98 Mn |
| Mar 31, 2023 | 372.06 Mn |
| Dec 31, 2022 | 502.30 Mn |
| Sep 30, 2022 | 412.48 Mn |
| Jun 30, 2022 | 376.93 Mn |
| Mar 31, 2022 | 320.02 Mn |
| Dec 31, 2021 | 331.77 Mn |
Pinterest 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=PINS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=PINS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();