Comscore (SCOR) Cost of Revenue (2010 - 2026)
Comscore's Cost of Revenue came in at $50.98 million for Q2 2026, down 4.0% from $53.1 million a year earlier and down 3.8% from the prior quarter.
Comscore (SCOR) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Comscore reported Cost of Revenue of $211.89 million, up 0.2% year-over-year; for FY2025, it came in at $212.76 million, up 1.9% from FY2024.
- Cost of Revenue has increased in each of the last five years, with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $208.71 million in FY2024 (+1.5%), $205.58 million in FY2023 (+0.1%), $205.29 million in FY2022 (+1.1%) and $203.04 million in FY2021 (+12.4%).
- The Q2 2026 figure represents the lowest quarterly Cost of Revenue since Q1 2024.
- Year-over-year, Cost of Revenue increased in seven of the last eight quarters, with growth averaging 2.3%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2021 (growth of 14.4%), and the weakest in Q2 2026 (a decline of 4.0%).
- Business Quant data shows SCOR's Cost of Revenue at $52.99 million (Q1 2026), $55.13 million (Q4 2025) and $52.78 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | Comscore | 64.38 Mn | -33.70 Mn | 28.26 Mn | 50.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.98 Mn |
| Mar 31, 2026 | 52.99 Mn |
| Dec 31, 2025 | 55.13 Mn |
| Sep 30, 2025 | 52.78 Mn |
| Jun 30, 2025 | 53.10 Mn |
| Mar 31, 2025 | 51.75 Mn |
| Dec 31, 2024 | 54.68 Mn |
| Sep 30, 2024 | 52.01 Mn |
| Jun 30, 2024 | 51.95 Mn |
| Mar 31, 2024 | 50.07 Mn |
| Dec 31, 2023 | 50.22 Mn |
| Sep 30, 2023 | 50.47 Mn |
| Jun 30, 2023 | 52.96 Mn |
| Mar 31, 2023 | 51.93 Mn |
| Dec 31, 2022 | 49.38 Mn |
| Sep 30, 2022 | 51.53 Mn |
| Jun 30, 2022 | 51.47 Mn |
| Mar 31, 2022 | 52.92 Mn |
| Dec 31, 2021 | 49.78 Mn |
| Sep 30, 2021 | 49.18 Mn |
Comscore Cost of 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=cost-of-revenue&ticker=SCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=SCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();