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 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 545.00 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 192.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 726.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.61 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 1.12 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 132.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 1.58 Bn |
| 10 | Transcode Therapeutics | 1.37 Mn | -40.52 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();