Context Therapeutics (CNTX) Change in Accured Expenses (2020 - 2026)
Context Therapeutics (CNTX) reported Change in Accured Expenses of -$1.48 million for Q2 2026, compared with $1.26 million a year earlier.
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Analysis
Context Therapeutics (CNTX) Change in Accured Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Context Therapeutics' Change in Accured Expenses came in at $384,322, down 63.5% year-over-year; for FY2025, it came in at $4.19 million.
- Change in Accured Expenses has a five-year compound annual growth rate of 40.8% (FY2020 to FY2025).
- By year, Change in Accured Expenses came in at -$619,770 in FY2024, -$407,470 in FY2023, $1.35 million in FY2022 (+436.1%) and $252,655 in FY2021 (-66.7%).
- The Q2 2026 figure ranks as the lowest quarterly Change in Accured Expenses in data going back to Q4 2020.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2025 (growth of 457.9%); the low point was Q3 2023 (a decline of 50.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$1.47 million (Q1 2026), $2.18 million (Q4 2025) and $1.15 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | - |
| 10 | Context Therapeutics | 22.66 Mn | -217.80 Mn | - | -1.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.48 Mn |
| Mar 31, 2026 | -1.47 Mn |
| Dec 31, 2025 | 2.18 Mn |
| Sep 30, 2025 | 1.15 Mn |
| Jun 30, 2025 | 1.26 Mn |
| Mar 31, 2025 | -401,153.00 |
| Dec 31, 2024 | -10,276.00 |
| Sep 30, 2024 | 206,373.00 |
| Jun 30, 2024 | 429,774.00 |
| Mar 31, 2024 | -1.25 Mn |
| Dec 31, 2023 | -967,261.00 |
| Sep 30, 2023 | 217,333.00 |
| Jun 30, 2023 | 567,185.00 |
| Mar 31, 2023 | -224,727.00 |
| Dec 31, 2022 | -222,150.00 |
| Sep 30, 2022 | 437,316.00 |
| Jun 30, 2022 | 941,088.00 |
| Mar 31, 2022 | 198,324.00 |
| Dec 31, 2021 | 232,634.00 |
| Sep 30, 2021 | -767,886.00 |
API Access
Context Therapeutics Change in Accured Expenses 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=change-in-accured-expenses&ticker=CNTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=CNTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();