Sera Prognostics (SERA) Total Current Liabilities (2020 - 2026)
Sera Prognostics (SERA) posted Total Current Liabilities of $24.36 million for Q2 2026, up 3.2% from $23.6 million a year earlier and up 4.0% from the prior quarter.
Sera Prognostics (SERA) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Sera Prognostics' Total Current Liabilities came in at $24.19 million, down 2.3% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- In prior years, Sera Prognostics' Total Current Liabilities was $24.77 million in FY2024 (+1.3%), $24.44 million in FY2023 (+57.3%), $15.54 million in FY2022 (+84.7%) and $8.41 million in FY2021 (-25.2%).
- The Q2 2026 figure stands as the highest quarterly Total Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Current Liabilities increased in four of the last eight quarters, with growth averaging 8.6%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q3 2022, with growth of 144.6%; the weakest was Q4 2021, with a decline of 25.2%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $23.42 million (Q1 2026), $24.19 million (Q4 2025) and $23.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | HCA Healthcare | 102.50 Bn | 98.51 Bn | - | 17.31 Bn |
| 2 | Natera | 58.05 Bn | 53.74 Bn | 485.19 Mn | 553.20 Mn |
| 3 | Labcorp Holdings | 26.39 Bn | 24.13 Bn | 1.11 Bn | 2.12 Bn |
| 4 | Quest Diagnostics | 26.28 Bn | 24.41 Bn | 1.03 Bn | 1.79 Bn |
| 5 | Tenet Healthcare | 22.71 Bn | 11.72 Bn | - | 5.57 Bn |
| 6 | Guardant Health | 21.59 Bn | 17.65 Bn | 219.03 Mn | 338.96 Mn |
| 7 | BrightSpring Health Services | 12.87 Bn | 11.21 Bn | 492.75 Mn | 1.56 Bn |
| 8 | Fresenius Medical Care AG | 12.49 Bn | 4.44 Bn | 1.52 Bn | 8.20 Bn |
| 9 | Encompass Health | 12.04 Bn | 11.70 Bn | - | 873.40 Mn |
| 10 | Sera Prognostics | 102.47 Mn | -73.88 Mn | -20,000.00 | 24.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.36 Mn |
| Mar 31, 2026 | 23.42 Mn |
| Dec 31, 2025 | 24.19 Mn |
| Sep 30, 2025 | 23.50 Mn |
| Jun 30, 2025 | 23.60 Mn |
| Mar 31, 2025 | 23.40 Mn |
| Dec 31, 2024 | 24.77 Mn |
| Sep 30, 2024 | 24.18 Mn |
| Jun 30, 2024 | 24.76 Mn |
| Mar 31, 2024 | 24.57 Mn |
| Dec 31, 2023 | 24.44 Mn |
| Sep 30, 2023 | 13.55 Mn |
| Jun 30, 2023 | 14.18 Mn |
| Mar 31, 2023 | 13.80 Mn |
| Dec 31, 2022 | 15.54 Mn |
| Sep 30, 2022 | 8.67 Mn |
| Jun 30, 2022 | 7.30 Mn |
| Mar 31, 2022 | 6.94 Mn |
| Dec 31, 2021 | 8.41 Mn |
| Sep 30, 2021 | 3.54 Mn |
Sera Prognostics Total Current Liabilities 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=total-current-liabilities&ticker=SERA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "SERA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-current-liabilities&ticker=SERA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();