Transcode Therapeutics (RNAZ) Non-Current Assets (2020 - 2026)
Transcode Therapeutics' Non-Current Assets came in at $140.37 million for Q2 2026, compared with $24,689 a year earlier and unchanged from the prior quarter.
Analysis
Transcode Therapeutics (RNAZ) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Transcode Therapeutics' Non-Current Assets was $140.41 million.
- Non-Current Assets carries a five-year compound annual growth rate of 262.6% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $201,161 in FY2024 (-71.8%), $714,257 in FY2023 (+242.4%), $208,581 in FY2022 (+1.1%) and $206,268 in FY2021 (-8.0%).
- The five-year range for quarterly Non-Current Assets is $24,689 (Q2 2025) to $140.42 million (Q1 2026).
- Year-over-year, Non-Current Assets increased in 1 of the last five quarters, with an average decline of 51.1%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2023 (growth of 477.7%), and the weakest in Q2 2025 (a decline of 94.4%).
- Business Quant data shows RNAZ's Non-Current Assets at $140.42 million (Q1 2026), $140.41 million (Q4 2025) and $475,634 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Transcode Therapeutics | 1.65 Mn | 1.65 Mn | - | 140.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.37 Mn |
| Mar 31, 2026 | 140.42 Mn |
| Dec 31, 2025 | 140.41 Mn |
| Sep 30, 2025 | 475,634.00 |
| Jun 30, 2025 | 24,689.00 |
| Mar 31, 2025 | 149,987.00 |
| Dec 31, 2024 | 201,161.00 |
| Sep 30, 2024 | 323,516.00 |
| Jun 30, 2024 | 438,167.00 |
| Mar 31, 2024 | 576,445.00 |
| Dec 31, 2023 | 714,257.00 |
| Sep 30, 2023 | 854,430.00 |
| Jun 30, 2023 | 988,608.00 |
| Mar 31, 2023 | 1.24 Mn |
| Dec 31, 2022 | 208,581.00 |
| Sep 30, 2022 | 445,688.00 |
| Jun 30, 2022 | 234,673.00 |
| Mar 31, 2022 | 215,324.00 |
| Dec 31, 2021 | 206,268.00 |
| Sep 30, 2021 | 155,610.00 |
API Access
Transcode Therapeutics Non-Current Assets 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=non-current-assets&ticker=RNAZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=RNAZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();