Comscore (SCOR) Revenue (2010 - 2026)
Comscore (SCOR) posted Revenue of $79.25 million for Q2 2026, down 11.3% from $89.39 million a year earlier and down 7.1% from the prior quarter.
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Analysis
Comscore (SCOR) Revenue (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Comscore was $346.94 million, down 3.2% year-over-year; for FY2025, it was $357.47 million, up 0.4% from FY2024.
- Annual Revenue shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior years, Comscore's Revenue was $356.05 million in FY2024 (-4.1%), $371.34 million in FY2023 (-1.3%), $376.42 million in FY2022 (+2.6%) and $367.01 million in FY2021 (+3.1%).
- The Q2 2026 figure stands as the lowest quarterly Revenue since Q4 2015.
- On a year-over-year basis, Revenue has declined in each of the last three quarters, with an average decline of 1.6% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q4 2021, with growth of 7.3%; the weakest was Q2 2026, with a decline of 11.3%.
- According to Business Quant data, Revenue for the three prior quarters was $85.32 million (Q1 2026), $93.47 million (Q4 2025) and $88.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,142.52 Bn | 3,900.05 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,882.44 Bn | 1,584.96 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 292.72 Bn | 252.92 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 250.25 Bn | 68.12 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 192.03 Bn | 169.21 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 141.56 Bn | 113.53 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 121.98 Bn | 55.03 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 110.31 Bn | -141.62 Bn | 9.45 Bn | 16.56 Bn |
| 9 | AppLovin | 102.49 Bn | 92.52 Bn | 1.70 Bn | 1.92 Bn |
| 10 | Comscore | 71.82 Mn | -26.26 Mn | 28.26 Mn | 79.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 79.25 Mn |
| Mar 31, 2026 | 85.32 Mn |
| Dec 31, 2025 | 93.47 Mn |
| Sep 30, 2025 | 88.91 Mn |
| Jun 30, 2025 | 89.39 Mn |
| Mar 31, 2025 | 85.71 Mn |
| Dec 31, 2024 | 94.94 Mn |
| Sep 30, 2024 | 88.48 Mn |
| Jun 30, 2024 | 85.84 Mn |
| Mar 31, 2024 | 86.80 Mn |
| Dec 31, 2023 | 95.10 Mn |
| Sep 30, 2023 | 91.00 Mn |
| Jun 30, 2023 | 93.68 Mn |
| Mar 31, 2023 | 91.56 Mn |
| Dec 31, 2022 | 98.24 Mn |
| Sep 30, 2022 | 92.78 Mn |
| Jun 30, 2022 | 91.43 Mn |
| Mar 31, 2022 | 93.97 Mn |
| Dec 31, 2021 | 96.54 Mn |
| Sep 30, 2021 | 92.49 Mn |
API Access
Comscore Revenue 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=revenue&ticker=SCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "SCOR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=SCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();