PureTech Health (PTCHF) Receivables - Net (2019 - 2025)
PureTech Health's Receivables - Net was $1.76 million in the quarter ended Dec 31, 2025, up 15.5% from $1.52 million a year earlier.
Analysis
PureTech Health (PTCHF) Receivables - Net (2019 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2019 onward, PureTech Health has reported Receivables - Net for 9 quarters.
- Receivables - Net shows a five-year compound annual growth rate of -7.2% (years ended Dec 2020 to Dec 2025).
- In earlier years, Receivables - Net was $1.52 million in the year ended Dec 31, 2024 (-35.9%), $2.38 million in the year ended Dec 31, 2023 (-80.0%), $11.87 million in the year ended Dec 31, 2022 (+273.9%) and $3.17 million in the year ended Dec 31, 2021 (+24.1%).
- Quarterly Receivables - Net has moved between $1.52 million (the quarter ended Dec 31, 2024) and $11.87 million (the quarter ended Dec 31, 2022) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,135.43 Bn | 1,104.02 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 616.54 Bn | 535.06 Bn | 17.26 Bn |
| 3 | AbbVie | 501.55 Bn | 474.66 Bn | 12.70 Bn |
| 4 | Merck | 367.19 Bn | 321.57 Bn | 12.21 Bn |
| 5 | Novartis Ag | 297.91 Bn | 261.90 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.40 Bn | 235.09 Bn | 12.86 Bn |
| 7 | Amgen | 236.18 Bn | 191.58 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 190.55 Bn | 164.75 Bn | 6.22 Bn |
| 9 | Pfizer | 169.40 Bn | 116.05 Bn | 10.94 Bn |
| 10 | PureTech Health | 35.77 Mn | -1.44 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.76 Mn |
| Jun 30, 2025 | 2.49 Mn |
| Dec 31, 2024 | 1.52 Mn |
| Jun 30, 2024 | 2.06 Mn |
| Dec 31, 2023 | 2.38 Mn |
| Dec 31, 2022 | 11.87 Mn |
| Dec 31, 2021 | 3.17 Mn |
| Dec 31, 2020 | 2.56 Mn |
| Dec 31, 2019 | 1.98 Mn |
API Access
PureTech Health Receivables - Net 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-net&ticker=PTCHF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "PTCHF", "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-net&ticker=PTCHF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();