Shutterstock (SSTK) Exchange Rate Effect (2014 - 2026)
Shutterstock's (SSTK) quarterly Exchange Rate Effect came in at -$1.3 million in Q2 2026, down 121.58% year-over-year from $6.2 million in Q2 2025, and up 33.25% quarter-over-quarter from -$2.0 million in Q1 2026.
Shutterstock (SSTK) Exchange Rate Effect (2014 - 2026) Analysis & Trends
Shutterstock (SSTK) has reported Exchange Rate Effect for 13 consecutive years, with -$1.3 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 121.58% year-over-year to -$1.3 million in Q2 2026; TTM through Jun 2026 was -$5.1 million, a 184.55% decrease from a year earlier, with the FY2025 full-year figure at $7.2 million, up 223.89% from the prior year.
- Exchange Rate Effect was -$1.3 million for Q2 2026 at Shutterstock, up from -$2.0 million in the prior quarter.
- Over five years, Exchange Rate Effect peaked at $6.2 million in Q2 2025 and troughed at -$5.6 million in Q4 2024.
- A 5-year average of -$134388.9 and a median of -$943500.0 in 2023 frame the typical range for Exchange Rate Effect.
- Across the five-year window, Exchange Rate Effect plunged 2188.89% in 2022 and surged 685.24% in 2025, its largest moves.
- Over 5 years, Exchange Rate Effect stood at $4.6 million in 2022, then plunged by 30.83% to $3.2 million in 2023, then sank by 275.88% to -$5.6 million in 2024, then jumped by 94.3% to -$319000.0 in 2025, then sank by 318.5% to -$1.3 million in 2026.
- The last three Exchange Rate Effect figures came in at -$1.3 million (Q2 2026), -$2.0 million (Q1 2026), and -$319000.0 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Alibaba Group Holding | 268.88 Bn | 233.62 Bn | 15.11 Bn | -224.00 Mn |
| 2 | Booking Holdings | 126.62 Bn | 109.41 Bn | 4.98 Bn | -111.00 Mn |
| 3 | PDD Holdings | 112.86 Bn | 82.58 Bn | 9.45 Bn | 182.40 Mn |
| 4 | Airbnb | 98.44 Bn | 86.37 Bn | 2.98 Bn | -28.00 Mn |
| 5 | Mercadolibre | 92.29 Bn | 77.10 Bn | 4.16 Bn | 21.00 Mn |
| 6 | Ebay | 48.19 Bn | 44.89 Bn | 2.30 Bn | -11.00 Mn |
| 7 | Expedia | 32.17 Bn | 25.04 Bn | 3.91 Bn | -8.00 Mn |
| 8 | Maplebear | 10.62 Bn | 9.77 Bn | 751.00 Mn | -2.00 Mn |
| 9 | Full Truck Alliance | 7.66 Bn | 6.70 Bn | - | -4.96 Mn |
| 10 | Shutterstock | 167.10 Mn | 33.90 Mn | 128.01 Mn | -1.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.34 Mn |
| Mar 31, 2026 | -2.00 Mn |
| Dec 31, 2025 | -319,000.00 |
| Sep 30, 2025 | -1.45 Mn |
| Jun 30, 2025 | 6.19 Mn |
| Mar 31, 2025 | 2.79 Mn |
| Dec 31, 2024 | -5.60 Mn |
| Sep 30, 2024 | 2.67 Mn |
| Jun 30, 2024 | -1.06 Mn |
| Mar 31, 2024 | -1.82 Mn |
| Dec 31, 2023 | 3.18 Mn |
| Sep 30, 2023 | -840,000.00 |
| Jun 30, 2023 | -1.05 Mn |
| Mar 31, 2023 | 507,000.00 |
| Dec 31, 2022 | 4.60 Mn |
| Sep 30, 2022 | -3.06 Mn |
| Jun 30, 2022 | -3.30 Mn |
| Mar 31, 2022 | -529,000.00 |
| Dec 31, 2021 | -1.75 Mn |
| Sep 30, 2021 | -984,000.00 |
Shutterstock Exchange Rate Effect 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=exchange-rate-effect&ticker=SSTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SSTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();