Transcode Therapeutics (RNAZ) Depreciation & Amortization (CF) (2021 - 2026)
Transcode Therapeutics (RNAZ) recorded Depreciation & Amortization (CF) of $23,937 in Q2 2026, up 78.1% from $13,443 a year earlier and unchanged from the prior quarter.
Transcode Therapeutics (RNAZ) Depreciation & Amortization (CF) (2021 - 2026) Analysis & Trends
On a TTM basis, Transcode Therapeutics' Depreciation & Amortization (CF) came in at $34,431 as of Jun 30, 2026, down 35.4% year-over-year; for FY2025, it came in at $13,443, down 85.2% from FY2024.
- Annual Depreciation & Amortization (CF) has a four-year compound annual growth rate of -25.0% (FY2021 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $90,894 in FY2024 (-26.4%), $123,483 in FY2023 (+25.2%), $98,606 in FY2022 (+132.2%) and $42,470 in FY2021.
- The Q2 2026 figure is the highest quarterly Depreciation & Amortization (CF) since Q2 2024.
- On a year-over-year basis, Depreciation & Amortization (CF) rose in two of the last seven quarters, with an average decline of 21.0%.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 383.7% in Q2 2022, against a decline of 70.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $23,936 (Q1 2026), -$18,223 (Q4 2025) and $4,781 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.96 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 194.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 599.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.93 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 1.11 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 98.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 1.62 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 56.50 Mn |
| 10 | Transcode Therapeutics | 1.70 Mn | 1.70 Mn | - | 23,937.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23,937.00 |
| Mar 31, 2026 | 23,936.00 |
| Dec 31, 2025 | -18,223.00 |
| Sep 30, 2025 | 4,781.00 |
| Jun 30, 2025 | 13,443.00 |
| Mar 31, 2025 | 13,443.00 |
| Dec 31, 2024 | 10,346.00 |
| Sep 30, 2024 | 16,031.00 |
| Jun 30, 2024 | 32,354.00 |
| Mar 31, 2024 | 32,164.00 |
| Dec 31, 2023 | 31,655.00 |
| Sep 30, 2023 | 31,218.00 |
| Jun 30, 2023 | 30,970.00 |
| Mar 31, 2023 | 29,640.00 |
| Dec 31, 2022 | 29,505.00 |
| Sep 30, 2022 | 24,802.00 |
| Jun 30, 2022 | 22,698.00 |
| Mar 31, 2022 | 21,601.00 |
| Dec 31, 2021 | 28,988.00 |
| Sep 30, 2021 | 7,535.00 |
Transcode Therapeutics 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=RNAZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "ticker": "RNAZ", "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=RNAZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();