Context Therapeutics (CNTX) Non Operating Income (2021 - 2025)
Context Therapeutics' Non Operating Income came in at -$6,635 for Q1 2025, compared with $3,353 a year earlier.
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Analysis
Context Therapeutics (CNTX) Non Operating Income (2021 - 2025) Analysis & Trends
Over the trailing twelve months to Mar 31, 2025, Context Therapeutics reported Non Operating Income of -$11,541; for FY2023, it came in at -$55,570.
- Going back by year, Non Operating Income was -$2,004 in FY2022 and $123,872 in FY2021.
- The Q1 2025 figure represents the lowest quarterly Non Operating Income since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 269.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | - |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | -73.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 387.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Context Therapeutics | 21.74 Mn | -218.72 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | -6,635.00 |
| Sep 30, 2024 | -2,152.00 |
| Jun 30, 2024 | -6,107.00 |
| Mar 31, 2024 | 3,353.00 |
| Dec 31, 2023 | -61,400.00 |
| Sep 30, 2023 | 15,369.00 |
| Jun 30, 2023 | -12,227.00 |
| Mar 31, 2023 | 2,688.00 |
| Dec 31, 2022 | -2,301.00 |
| Sep 30, 2022 | 1,532.00 |
| Jun 30, 2022 | 4.00 |
| Mar 31, 2022 | -1,239.00 |
| Dec 31, 2021 | -276.00 |
| Sep 30, 2021 | 126,531.00 |
| Jun 30, 2021 | -4,320.00 |
| Mar 31, 2021 | 1,937.00 |
API Access
Context Therapeutics Non Operating Income 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=non-operating-income&ticker=CNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "ticker": "CNTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-income&ticker=CNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();