Shutterstock (SSTK) EBITDA (2011 - 2026)
Shutterstock's EBITDA came in at -$134.5 million for Q2 2026, compared with $55.54 million a year earlier.
Shutterstock (SSTK) EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Shutterstock reported EBITDA of -$67.02 million; for FY2025, it was $165.95 million, up 6.2% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- Going back by year, EBITDA was $156.33 million in FY2024 (+5.5%), $148.13 million in FY2023 (-8.6%), $162.09 million in FY2022 (+3.3%) and $156.88 million in FY2021 (+23.9%).
- The Q2 2026 figure represents the lowest quarterly EBITDA in data going back to Q3 2011.
- Year-over-year, EBITDA increased in four of the last six quarters, with growth averaging 13.2%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2024 (growth of 62.1%), and the weakest in Q4 2025 (a decline of 44.1%).
- Business Quant data shows SSTK's EBITDA at -$8.25 million (Q1 2026), $20.37 million (Q4 2025) and $55.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 48.95 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 20.14 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 8.80 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 | 575.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 1.67 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 1.74 Bn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 844.41 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 3.60 Bn |
| 10 | Shutterstock | 109.19 Mn | -530.31 Mn | 128.01 Mn | -134.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -134.50 Mn |
| Mar 31, 2026 | -8.25 Mn |
| Dec 31, 2025 | 20.37 Mn |
| Sep 30, 2025 | 55.37 Mn |
| Jun 30, 2025 | 55.54 Mn |
| Mar 31, 2025 | 32.87 Mn |
| Dec 31, 2024 | 36.43 Mn |
| Sep 30, 2024 | 39.79 Mn |
| Jun 30, 2024 | 42.10 Mn |
| Mar 31, 2024 | 38.01 Mn |
| Dec 31, 2023 | 22.48 Mn |
| Sep 30, 2023 | 38.46 Mn |
| Jun 30, 2023 | 27.92 Mn |
| Mar 31, 2023 | 59.27 Mn |
| Dec 31, 2022 | 26.28 Mn |
| Sep 30, 2022 | 46.94 Mn |
| Jun 30, 2022 | 41.88 Mn |
| Mar 31, 2022 | 46.98 Mn |
| Dec 31, 2021 | 29.63 Mn |
| Sep 30, 2021 | 35.66 Mn |
Shutterstock EBITDA 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=ebitda&ticker=SSTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();