Transcode Therapeutics (RNAZ) Accumulated Depreciation (2021 - 2026)
Transcode Therapeutics (RNAZ) recorded Accumulated Depreciation of $435,132 in Q2 2026, up 28.9% from $337,698 a year earlier and up 5.8% from the prior quarter.
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Analysis
Transcode Therapeutics (RNAZ) Accumulated Depreciation (2021 - 2026) Analysis & Trends
At the end of FY2025, Transcode Therapeutics reported Accumulated Depreciation of $387,260, up 24.6% from FY2024.
- Annual Accumulated Depreciation has increased for four straight years, with a four-year compound annual growth rate of 75.0% (FY2021 to FY2025).
- Across earlier years, Accumulated Depreciation came in at $310,813 in FY2024 (+18.0%), $263,343 in FY2023 (+88.3%), $139,860 in FY2022 (+239.0%) and $41,254 in FY2021.
- The Q2 2026 figure is the highest quarterly Accumulated Depreciation in data going back to Q4 2021.
- On a year-over-year basis, Accumulated Depreciation has increased for three consecutive quarters, with growth averaging 19.9% over the last eight quarters.
- Peak year-over-year performance for Accumulated Depreciation in the last five years was growth of 239.0% in Q4 2022, against a decline of 0.4% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $411,196 (Q1 2026), $387,260 (Q4 2025) and $342,479 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Transcode Therapeutics | 1.70 Mn | 1.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 435,132.00 |
| Mar 31, 2026 | 411,196.00 |
| Dec 31, 2025 | 387,260.00 |
| Sep 30, 2025 | 342,479.00 |
| Jun 30, 2025 | 337,698.00 |
| Mar 31, 2025 | 324,256.00 |
| Dec 31, 2024 | 310,813.00 |
| Sep 30, 2024 | 343,891.00 |
| Jun 30, 2024 | 327,860.00 |
| Mar 31, 2024 | 295,507.00 |
| Dec 31, 2023 | 263,343.00 |
| Sep 30, 2023 | 231,688.00 |
| Jun 30, 2023 | 200,469.00 |
| Mar 31, 2023 | 169,500.00 |
| Dec 31, 2022 | 139,860.00 |
| Sep 30, 2022 | 110,355.00 |
| Jun 30, 2022 | 85,553.00 |
| Mar 31, 2022 | 62,855.00 |
| Dec 31, 2021 | 41,254.00 |
API Access
Transcode Therapeutics Accumulated Depreciation 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=accumulated-depreciation&ticker=RNAZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=RNAZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();