Comscore (SCOR) Cash & Equivalents (2010 - 2026)
Comscore (SCOR) posted Cash & Equivalents of $25.71 million for Q2 2026, down 1.1% from $25.99 million a year earlier but up 16.6% from the prior quarter.
Comscore (SCOR) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Comscore's Cash & Equivalents came in at $23.62 million, down 21.1% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- In prior years, Comscore's Cash & Equivalents was $29.94 million in FY2024 (+31.6%), $22.75 million in FY2023 (+13.5%), $20.04 million in FY2022 (-8.3%) and $21.85 million in FY2021 (-29.8%).
- Quarterly Cash & Equivalents has run from a low of $14.66 million in Q2 2024 to a high of $30.97 million in Q1 2025 over five years.
- On a year-over-year basis, Cash & Equivalents has declined in each of the last three quarters, with growth averaging 15.4% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2025, with growth of 77.4%; the weakest was Q3 2021, with a decline of 50.5%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $22.04 million (Q1 2026), $23.62 million (Q4 2025) and $26.71 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | Comscore | 64.38 Mn | -33.70 Mn | 28.26 Mn | 25.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.71 Mn |
| Mar 31, 2026 | 22.04 Mn |
| Dec 31, 2025 | 23.62 Mn |
| Sep 30, 2025 | 26.71 Mn |
| Jun 30, 2025 | 25.99 Mn |
| Mar 31, 2025 | 30.97 Mn |
| Dec 31, 2024 | 29.94 Mn |
| Sep 30, 2024 | 20.00 Mn |
| Jun 30, 2024 | 14.66 Mn |
| Mar 31, 2024 | 18.73 Mn |
| Dec 31, 2023 | 22.75 Mn |
| Sep 30, 2023 | 30.07 Mn |
| Jun 30, 2023 | 22.66 Mn |
| Mar 31, 2023 | 20.27 Mn |
| Dec 31, 2022 | 20.04 Mn |
| Sep 30, 2022 | 25.09 Mn |
| Jun 30, 2022 | 19.63 Mn |
| Mar 31, 2022 | 29.63 Mn |
| Dec 31, 2021 | 21.85 Mn |
| Sep 30, 2021 | 15.94 Mn |
Comscore Cash & Equivalents 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=cash-and-equivalents&ticker=SCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();