Comscore (SCOR) Receivables (2010 - 2026)
Comscore's Receivables came in at $44.08 million for Q2 2026, down 19.0% from $54.44 million a year earlier and down 20.6% from the prior quarter.
Analysis
Comscore (SCOR) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Comscore's Receivables was $57.26 million, down 10.9% from FY2024.
- Receivables carries a five-year compound annual growth rate of -4.9% (FY2020 to FY2025).
- Going back by year, Receivables was $64.27 million in FY2024 (+0.7%), $63.83 million in FY2023 (-8.2%), $69.49 million in FY2022 (-8.2%) and $75.67 million in FY2021 (+3.1%).
- The Q2 2026 figure represents the lowest quarterly Receivables in data going back to Q4 2010.
- Year-over-year, Receivables increased in four of the last eight quarters, with an average decline of 2.2%.
- The fastest year-over-year change in Receivables over five years came in Q3 2021 (growth of 37.2%), and the weakest in Q3 2022 (a decline of 41.9%).
- Business Quant data shows SCOR's Receivables at $55.53 million (Q1 2026), $57.26 million (Q4 2025) and $50.59 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 69.18 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 21.75 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | - |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 466.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 4.30 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 4.34 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | - |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 2.17 Bn |
| 10 | Comscore | 73.80 Mn | -24.28 Mn | 28.26 Mn | 44.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.08 Mn |
| Mar 31, 2026 | 55.53 Mn |
| Dec 31, 2025 | 57.26 Mn |
| Sep 30, 2025 | 50.59 Mn |
| Jun 30, 2025 | 54.44 Mn |
| Mar 31, 2025 | 50.61 Mn |
| Dec 31, 2024 | 64.27 Mn |
| Sep 30, 2024 | 55.17 Mn |
| Jun 30, 2024 | 53.90 Mn |
| Mar 31, 2024 | 55.72 Mn |
| Dec 31, 2023 | 63.83 Mn |
| Sep 30, 2023 | 46.47 Mn |
| Jun 30, 2023 | 54.40 Mn |
| Mar 31, 2023 | 63.73 Mn |
| Dec 31, 2022 | 69.49 Mn |
| Sep 30, 2022 | 49.56 Mn |
| Jun 30, 2022 | 58.40 Mn |
| Mar 31, 2022 | 66.93 Mn |
| Dec 31, 2021 | 75.67 Mn |
| Sep 30, 2021 | 85.36 Mn |
API Access
Comscore Receivables 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=receivables&ticker=SCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();