Tyra Biosciences (TYRA) Change in Accured Expenses (2020 - 2026)
Tyra Biosciences' Change in Accured Expenses was $5.32 million in Q2 2026, compared with -$491,000 a year earlier and up 345.0% from the prior quarter.
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Analysis
Tyra Biosciences (TYRA) Change in Accured Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tyra Biosciences' Change in Accured Expenses was $10.74 million through Jun 30, 2026, up 219.2% year-over-year; for FY2025, it came in at $3.37 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of 27.0% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was -$744,000 in FY2024, $9.37 million in FY2023 (+297.5%), $2.36 million in FY2022 (+58.0%) and $1.49 million in FY2021 (+46.4%).
- The Q2 2026 figure marks the highest quarterly Change in Accured Expenses in data going back to Q4 2020.
- Compared with a year earlier, Change in Accured Expenses was higher in 1 of the last four quarters, with an average decline of 28.2%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2023 (growth of 208.5%); the worst was Q3 2022 (a decline of 96.1%).
- Per Business Quant data, TYRA's Change in Accured Expenses in the three quarters before Q2 2026 was $1.2 million (Q1 2026), $2.16 million (Q4 2025) and $2.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Tyra Biosciences | 1.22 Bn | 1.22 Bn | - | 5.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.32 Mn |
| Mar 31, 2026 | 1.20 Mn |
| Dec 31, 2025 | 2.16 Mn |
| Sep 30, 2025 | 2.07 Mn |
| Jun 30, 2025 | -491,000.00 |
| Mar 31, 2025 | -365,000.00 |
| Dec 31, 2024 | 2.21 Mn |
| Sep 30, 2024 | 2.01 Mn |
| Jun 30, 2024 | 1.94 Mn |
| Mar 31, 2024 | -6.91 Mn |
| Dec 31, 2023 | 5.08 Mn |
| Sep 30, 2023 | 4.64 Mn |
| Jun 30, 2023 | 1.67 Mn |
| Mar 31, 2023 | -2.02 Mn |
| Dec 31, 2022 | 207,000.00 |
| Sep 30, 2022 | 48,000.00 |
| Jun 30, 2022 | 542,000.00 |
| Mar 31, 2022 | 1.56 Mn |
| Dec 31, 2021 | 96,000.00 |
| Sep 30, 2021 | 1.23 Mn |
API Access
Tyra Biosciences 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=TYRA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "TYRA", "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=TYRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();