Relx (RELX) Finished Goods (2016 - 2025)
Relx (RELX) posted Finished Goods of $26.93 million for Q4 2025, down 26.0% from $36.39 million a year earlier.
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Analysis
Relx (RELX) Finished Goods (2016 - 2025) Analysis & Trends
Since Q4 2016, Relx has reported Finished Goods for 10 quarters.
- Annual Finished Goods has declined for three consecutive years, with a five-year compound annual growth rate of -10.3% (FY2020 to FY2025).
- In prior years, Relx's Finished Goods was $36.39 million in FY2024 (-26.7%), $49.66 million in FY2023 (-1.9%), $50.64 million in FY2022 (+13.7%) and $44.54 million in FY2021 (-3.9%).
- The Q4 2025 figure stands as the lowest quarterly Finished Goods in data going back to Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn |
| 10 | Thomson Reuters | 48.75 Bn | 44.72 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 26.93 Mn |
| Dec 31, 2024 | 36.39 Mn |
| Dec 31, 2023 | 49.66 Mn |
| Dec 31, 2022 | 50.64 Mn |
| Dec 31, 2021 | 44.54 Mn |
| Dec 31, 2020 | 46.34 Mn |
| Dec 31, 2019 | 44.58 Mn |
| Dec 31, 2018 | 49.50 Mn |
| Dec 31, 2017 | 51.08 Mn |
| Dec 31, 2016 | 67.58 Mn |
API Access
Relx Finished Goods 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=finished-goods&ticker=RELX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "RELX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=RELX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();