Shutterstock (SSTK) Price to Earnings (2012 - 2026)
Shutterstock's (SSTK) quarterly Price to Earnings came in at 3.29 in Q2 2026, down 114.49% year-over-year from 22.73 in Q2 2025, and up 73.48% quarter-over-quarter from 12.41 in Q1 2026.
Shutterstock (SSTK) Price to Earnings (2012 - 2026) Analysis & Trends
Shutterstock (SSTK) has reported Price to Earnings for 15 consecutive years, with 3.29 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 114.49% year-over-year to 3.29 in Q2 2026; TTM through Jun 2026 was 2.49, a 123.94% decrease from a year earlier, with the FY2025 full-year figure at 14.92, down 49.36% from the prior year.
- Price to Earnings was 3.29 for Q2 2026 at Shutterstock, up from 12.41 in the prior quarter.
- Over five years, Price to Earnings peaked at 377.49 in Q2 2024 and troughed at 1707.17 in Q4 2023.
- A 5-year average of 61.3 and a median of 51.58 in 2023 frame the typical range for Price to Earnings.
- Across the five-year window, Price to Earnings plunged 736.81% in 2023 and soared 976.67% in 2024, its largest moves.
- Over 5 years, Price to Earnings stood at 268.08 in 2022, then sank by 736.81% to 1707.17 in 2023, then soared by 56.61% to 740.68 in 2024, then soared by 94.28% to 42.36 in 2025, then jumped by 92.23% to 3.29 in 2026.
- The last three Price to Earnings figures came in at 3.29 (Q2 2026), 12.41 (Q1 2026), and 42.36 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alibaba Group Holding | 268.88 Bn | 233.62 Bn | 15.11 Bn |
| 2 | Booking Holdings | 126.62 Bn | 109.41 Bn | 4.98 Bn |
| 3 | PDD Holdings | 112.86 Bn | 82.58 Bn | 9.45 Bn |
| 4 | Airbnb | 98.44 Bn | 86.37 Bn | 2.98 Bn |
| 5 | Mercadolibre | 92.29 Bn | 77.10 Bn | 4.16 Bn |
| 6 | Ebay | 48.19 Bn | 44.89 Bn | 2.30 Bn |
| 7 | Expedia | 32.17 Bn | 25.04 Bn | 3.91 Bn |
| 8 | Maplebear | 10.62 Bn | 9.77 Bn | 751.00 Mn |
| 9 | Full Truck Alliance | 7.66 Bn | 6.70 Bn | - |
| 10 | Shutterstock | 167.10 Mn | 33.90 Mn | 128.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.29 |
| Mar 31, 2026 | -12.41 |
| Dec 31, 2025 | -42.36 |
| Sep 30, 2025 | 55.30 |
| Jun 30, 2025 | 22.73 |
| Mar 31, 2025 | 34.79 |
| Dec 31, 2024 | -740.68 |
| Sep 30, 2024 | 69.98 |
| Jun 30, 2024 | 377.49 |
| Mar 31, 2024 | 101.17 |
| Dec 31, 2023 | -1,707.17 |
| Sep 30, 2023 | 47.86 |
| Jun 30, 2023 | 35.06 |
| Mar 31, 2023 | 79.39 |
| Dec 31, 2022 | 268.08 |
| Sep 30, 2022 | 77.97 |
| Jun 30, 2022 | 106.05 |
| Mar 31, 2022 | 126.59 |
| Dec 31, 2021 | 239.13 |
| Sep 30, 2021 | 258.69 |
Shutterstock Price to Earnings 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=price-to-earnings&ticker=SSTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();