Outlook Therapeutics (OTLK) Receivables (2015 - 2026)
Outlook Therapeutics' Receivables was $1.64 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.1% from $1.75 million a year earlier and down 39.5% from the prior quarter.
Outlook Therapeutics (OTLK) Receivables (2015 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Receivables at Outlook Therapeutics came in at $1.49 million.
- Quarterly Receivables has moved between $114,609 (fiscal Q1 2026) and $2.72 million (fiscal Q2 2026) over five years.
- Per Business Quant data, OTLK's Receivables in the three fiscal quarters before Q3 2026 was $2.72 million (Q2 2026), $114,609 (Q1 2026) and $1.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 25.23 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 18.99 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 13.51 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.74 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 16.16 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 10.35 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 5.01 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 14.19 Bn |
| 10 | Outlook Therapeutics | 62.90 Mn | 27.15 Mn | -8,265.00 | 1.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.64 Mn |
| Mar 31, 2026 | 2.72 Mn |
| Dec 31, 2025 | 114,609.00 |
| Sep 30, 2025 | 1.49 Mn |
| Jun 30, 2025 | 1.75 Mn |
| Jun 30, 2016 | 47,020.00 |
| Mar 31, 2016 | 548,044.00 |
| Sep 30, 2015 | 137,506.00 |
Outlook Therapeutics 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=OTLK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "OTLK", "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=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();