Shutterstock (SSTK) Research & Development (2011 - 2026)
Shutterstock's Research & Development was $17.57 million in Q2 2026, down 15.3% from $20.75 million a year earlier and down 9.4% from the prior quarter.
Shutterstock (SSTK) Research & Development (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Shutterstock's Research & Development was $85.39 million through Jun 30, 2026, down 3.1% year-over-year; for FY2025, it came in at $89.03 million, up 0.7% from FY2024.
- Research & Development shows a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- In earlier years, Research & Development was $88.42 million in FY2024 (-8.1%), $96.16 million in FY2023 (+47.0%), $65.43 million in FY2022 (+25.8%) and $52.01 million in FY2021 (+13.0%).
- The Q2 2026 figure marks the lowest quarterly Research & Development since Q1 2023.
- Compared with a year earlier, Research & Development was higher in three of the last eight quarters, with an average decline of 2.5%.
- The best year-over-year quarter for Research & Development over five years was Q2 2023 (growth of 70.2%); the worst was Q2 2024 (a decline of 32.0%).
- Per Business Quant data, SSTK's Research & Development in the three quarters before Q2 2026 was $19.41 million (Q1 2026), $26.04 million (Q4 2025) and $22.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 20.64 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 20.05 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 1.03 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 3.32 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 497.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 1.27 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 101.82 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 479.73 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | - |
| 10 | Shutterstock | 109.19 Mn | -530.31 Mn | 128.01 Mn | 17.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.57 Mn |
| Mar 31, 2026 | 19.41 Mn |
| Dec 31, 2025 | 26.04 Mn |
| Sep 30, 2025 | 22.37 Mn |
| Jun 30, 2025 | 20.75 Mn |
| Mar 31, 2025 | 19.87 Mn |
| Dec 31, 2024 | 18.90 Mn |
| Sep 30, 2024 | 28.61 Mn |
| Jun 30, 2024 | 19.86 Mn |
| Mar 31, 2024 | 21.05 Mn |
| Dec 31, 2023 | 23.44 Mn |
| Sep 30, 2023 | 28.10 Mn |
| Jun 30, 2023 | 29.22 Mn |
| Mar 31, 2023 | 15.41 Mn |
| Dec 31, 2022 | 17.11 Mn |
| Sep 30, 2022 | 17.53 Mn |
| Jun 30, 2022 | 17.16 Mn |
| Mar 31, 2022 | 13.63 Mn |
| Dec 31, 2021 | 15.73 Mn |
| Sep 30, 2021 | 13.57 Mn |
Shutterstock Research & Development 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=research-and-development&ticker=SSTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();