Ascendis Pharma A (ASND) Receivables (2012 - 2026)
Ascendis Pharma A (ASND) recorded Receivables of $270.82 million in the quarter ended Jun 30, 2026, up 108.3% from $130.03 million a year earlier and up 12.3% from the prior quarter.
Ascendis Pharma A (ASND) Receivables (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Ascendis Pharma A reported Receivables of $171.96 million, down 6.7% from the prior year.
- Annual Receivables has a five-year compound annual growth rate of 75.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Receivables came in at $184.26 million in the year ended Dec 31, 2024 (+328.2%), $43.03 million in the year ended Dec 31, 2023 (+195.2%), $14.58 million in the year ended Dec 31, 2022 (-12.0%) and $16.56 million in the year ended Dec 31, 2021 (+59.3%).
- The figure for the quarter ended Jun 30, 2026 is the highest quarterly Receivables in data going back to the quarter ended Dec 31, 2012.
- On a year-over-year basis, Receivables rose in seven of the last eight quarters, with growth averaging 143.4%.
- Peak year-over-year performance for Receivables in the last five years was growth of 603.3% in the quarter ended Mar 31, 2022, against a decline of 64.8% in the quarter ended Sep 30, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $241.22 million (quarter ended Mar 31, 2026), $177.17 million (quarter ended Dec 31, 2025) and $165.66 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Ascendis Pharma A | 14.48 Bn | 10.74 Bn | 362.22 Mn | 245.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 245.79 Mn |
| Mar 31, 2026 | 236.13 Mn |
| Dec 31, 2025 | 176.98 Mn |
| Sep 30, 2025 | 166.24 Mn |
| Jun 30, 2025 | 134.72 Mn |
| Mar 31, 2025 | 77.05 Mn |
| Dec 31, 2024 | 177.16 Mn |
| Sep 30, 2024 | 47.06 Mn |
| Jun 30, 2024 | 58.07 Mn |
| Mar 31, 2024 | 49.59 Mn |
| Dec 31, 2023 | 44.03 Mn |
| Sep 30, 2023 | 30.56 Mn |
| Jun 30, 2023 | 24.21 Mn |
| Mar 31, 2023 | 26.81 Mn |
| Dec 31, 2022 | 16.84 Mn |
| Sep 30, 2022 | 10.23 Mn |
| Jun 30, 2022 | 8.02 Mn |
| Mar 31, 2022 | 15.52 Mn |
| Dec 31, 2021 | 16.39 Mn |
| Sep 30, 2021 | 24.12 Mn |
Ascendis Pharma A 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=ASND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "ASND", "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=ASND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();