Transcode Therapeutics (RNAZ) Cash & Equivalents (2020 - 2026)
Transcode Therapeutics (RNAZ) posted Cash & Equivalents of $8.4 million for Q2 2026, up 13.5% from $7.4 million a year earlier but down 34.6% from the prior quarter.
Transcode Therapeutics (RNAZ) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Transcode Therapeutics' Cash & Equivalents came in at $17.81 million, up 206.5% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 84.7% (FY2020 to FY2025).
- In prior years, Transcode Therapeutics' Cash & Equivalents was $5.81 million in FY2024 (+110.0%), $2.77 million in FY2023 (-44.3%), $4.97 million in FY2022 (-76.1%) and $20.83 million in FY2021.
- Quarterly Cash & Equivalents has run from a low of $1.62 million in Q1 2023 to a high of $22.5 million in Q3 2021 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last seven quarters, with growth averaging 71.1% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2025, with growth of 206.5%; the weakest was Q1 2023, with a decline of 90.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $12.84 million (Q1 2026), $17.81 million (Q4 2025) and $2.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Transcode Therapeutics | 1.55 Mn | 1.55 Mn | - | 8.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.40 Mn |
| Mar 31, 2026 | 12.84 Mn |
| Dec 31, 2025 | 17.81 Mn |
| Sep 30, 2025 | 2.84 Mn |
| Jun 30, 2025 | 7.40 Mn |
| Mar 31, 2025 | 11.60 Mn |
| Dec 31, 2024 | 5.81 Mn |
| Sep 30, 2024 | 1.90 Mn |
| Jun 30, 2024 | 3.40 Mn |
| Mar 31, 2024 | 4.91 Mn |
| Dec 31, 2023 | 2.77 Mn |
| Sep 30, 2023 | 7.50 Mn |
| Jun 30, 2023 | 3.60 Mn |
| Mar 31, 2023 | 1.62 Mn |
| Dec 31, 2022 | 4.97 Mn |
| Sep 30, 2022 | 8.80 Mn |
| Jun 30, 2022 | 13.44 Mn |
| Mar 31, 2022 | 16.90 Mn |
| Dec 31, 2021 | 20.83 Mn |
| Sep 30, 2021 | 22.50 Mn |
Transcode Therapeutics Cash & Equivalents 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=cash-and-equivalents&ticker=RNAZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=RNAZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();