Shutterstock (SSTK) Other Operating Expenses (2011 - 2026)
Shutterstock's Other Operating Expenses came in at $315.53 million for Q2 2026, up 93.5% from $163.07 million a year earlier and up 120.4% from the prior quarter.
Shutterstock (SSTK) Other Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Shutterstock reported Other Operating Expenses of $769.17 million, up 18.6% year-over-year; for FY2025, it was $627.82 million, up 1.4% from FY2024.
- Other Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $619 million in FY2024 (+9.1%), $567.38 million in FY2023 (+5.8%), $536.12 million in FY2022 (+11.1%) and $482.54 million in FY2021 (+15.2%).
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q1 2011.
- Year-over-year, Other Operating Expenses increased in six of the last eight quarters, with growth averaging 13.7%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q2 2026 (growth of 93.5%), and the weakest in Q4 2025 (a decline of 13.4%).
- Business Quant data shows SSTK's Other Operating Expenses at $143.13 million (Q1 2026), $148.59 million (Q4 2025) and $161.92 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,139.30 Bn | 3,896.82 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,802.48 Bn | 1,505.00 Bn | 49.47 Bn |
| 3 | Netflix | 295.38 Bn | 255.58 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 253.00 Bn | 66.78 Bn | 15.11 Bn |
| 5 | Shopify | 219.40 Bn | 196.59 Bn | 1.71 Bn |
| 6 | Uber Technologies | 143.37 Bn | 115.17 Bn | 6.38 Bn |
| 7 | Booking Holdings | 125.53 Bn | 58.58 Bn | - |
| 8 | PDD Holdings | 113.03 Bn | -130.74 Bn | 9.45 Bn |
| 9 | Spotify Technology | 108.69 Bn | 66.19 Bn | 1.86 Bn |
| 10 | Shutterstock | 162.78 Mn | -476.73 Mn | 128.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 315.53 Mn |
| Mar 31, 2026 | 143.13 Mn |
| Dec 31, 2025 | 148.59 Mn |
| Sep 30, 2025 | 161.92 Mn |
| Jun 30, 2025 | 163.07 Mn |
| Mar 31, 2025 | 154.25 Mn |
| Dec 31, 2024 | 171.62 Mn |
| Sep 30, 2024 | 159.81 Mn |
| Jun 30, 2024 | 143.14 Mn |
| Mar 31, 2024 | 144.44 Mn |
| Dec 31, 2023 | 158.50 Mn |
| Sep 30, 2023 | 150.38 Mn |
| Jun 30, 2023 | 132.81 Mn |
| Mar 31, 2023 | 125.69 Mn |
| Dec 31, 2022 | 154.41 Mn |
| Sep 30, 2022 | 127.69 Mn |
| Jun 30, 2022 | 131.25 Mn |
| Mar 31, 2022 | 122.78 Mn |
| Dec 31, 2021 | 141.04 Mn |
| Sep 30, 2021 | 124.09 Mn |
Shutterstock 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=SSTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "SSTK", "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=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();