Tyra Biosciences (TYRA) Depreciation & Amortization (CF) (2020 - 2026)
Tyra Biosciences' Depreciation & Amortization (CF) came in at $138,000 for Q2 2026, down 1.4% from $140,000 a year earlier and unchanged from the prior quarter.
Tyra Biosciences (TYRA) Depreciation & Amortization (CF) (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Tyra Biosciences reported Depreciation & Amortization (CF) of $539,000, down 2.7% year-over-year; for FY2025, it was $546,000, up 5.2% from FY2024.
- Depreciation & Amortization (CF) has increased in each of the last five years, with a five-year compound annual growth rate of 63.3% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization (CF) was $519,000 in FY2024 (+45.4%), $357,000 in FY2023 (+20.6%), $296,000 in FY2022 (+111.4%) and $140,000 in FY2021 (+197.9%).
- The five-year range for quarterly Depreciation & Amortization (CF) is $41,000 (Q3 2021) to $144,000 (Q4 2024).
- Year-over-year, Depreciation & Amortization (CF) has declined for three consecutive quarters, with growth averaging 14.1% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in Q1 2022 (growth of 190.9%), and the weakest in Q3 2021 (a decline of 99.7%).
- Business Quant data shows TYRA's Depreciation & Amortization (CF) at $138,000 (Q1 2026), $132,000 (Q4 2025) and $131,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 534.00 Mn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 1.96 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 194.00 Mn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 599.00 Mn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 1.93 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 1.11 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 98.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 1.62 Bn |
| 10 | Tyra Biosciences | 1.25 Bn | 1.25 Bn | - | 138,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138,000.00 |
| Mar 31, 2026 | 138,000.00 |
| Dec 31, 2025 | 132,000.00 |
| Sep 30, 2025 | 131,000.00 |
| Jun 30, 2025 | 140,000.00 |
| Mar 31, 2025 | 143,000.00 |
| Dec 31, 2024 | 144,000.00 |
| Sep 30, 2024 | 127,000.00 |
| Jun 30, 2024 | 126,000.00 |
| Mar 31, 2024 | 122,000.00 |
| Dec 31, 2023 | 102,000.00 |
| Sep 30, 2023 | 83,000.00 |
| Jun 30, 2023 | 89,000.00 |
| Mar 31, 2023 | 83,000.00 |
| Dec 31, 2022 | 82,000.00 |
| Sep 30, 2022 | 82,000.00 |
| Jun 30, 2022 | 68,000.00 |
| Mar 31, 2022 | 64,000.00 |
| Dec 31, 2021 | 50,000.00 |
| Sep 30, 2021 | 41,000.00 |
Tyra Biosciences Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=TYRA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=TYRA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();