Transcode Therapeutics (RNAZ) Accounts Payables (2020 - 2026)
Transcode Therapeutics' Accounts Payables came in at $4.68 million for Q2 2026, up 199.2% from $1.56 million a year earlier but down 11.5% from the prior quarter.
Powered by 
Analysis
Transcode Therapeutics (RNAZ) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, Transcode Therapeutics' Accounts Payables was $3.49 million, up 29.0% from FY2024.
- Accounts Payables carries a five-year compound annual growth rate of 56.8% (FY2020 to FY2025).
- Going back by year, Accounts Payables was $2.71 million in FY2024 (-11.2%), $3.05 million in FY2023 (-29.8%), $4.35 million in FY2022 (+73.6%) and $2.5 million in FY2021 (+578.1%).
- The five-year range for quarterly Accounts Payables is $1.56 million (Q2 2025) to $5.29 million (Q1 2026).
- Year-over-year, Accounts Payables has increased for four consecutive quarters, with growth averaging 32.8% over the last eight quarters.
- The fastest year-over-year change in Accounts Payables over five years came in Q4 2021 (growth of 578.1%), and the weakest in Q3 2024 (a decline of 58.5%).
- Business Quant data shows RNAZ's Accounts Payables at $5.29 million (Q1 2026), $3.49 million (Q4 2025) and $2.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 9.22 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 3.83 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 4.58 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Transcode Therapeutics | 1.70 Mn | 1.70 Mn | - | 4.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.68 Mn |
| Mar 31, 2026 | 5.29 Mn |
| Dec 31, 2025 | 3.49 Mn |
| Sep 30, 2025 | 2.97 Mn |
| Jun 30, 2025 | 1.56 Mn |
| Mar 31, 2025 | 2.51 Mn |
| Dec 31, 2024 | 2.71 Mn |
| Sep 30, 2024 | 2.13 Mn |
| Jun 30, 2024 | 3.28 Mn |
| Mar 31, 2024 | 2.37 Mn |
| Dec 31, 2023 | 3.05 Mn |
| Sep 30, 2023 | 5.14 Mn |
| Jun 30, 2023 | 3.04 Mn |
| Mar 31, 2023 | 5.06 Mn |
| Dec 31, 2022 | 4.35 Mn |
| Sep 30, 2022 | 3.75 Mn |
| Jun 30, 2022 | 1.70 Mn |
| Mar 31, 2022 | 1.83 Mn |
| Dec 31, 2021 | 2.50 Mn |
| Sep 30, 2021 | 1.98 Mn |
API Access
Transcode Therapeutics Accounts Payables 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=accounts-payables&ticker=RNAZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=RNAZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();