Ginkgo Bioworks Holdings (DNA) Total Liabilities (2020 - 2026)
Ginkgo Bioworks Holdings' Total Liabilities came in at $569.76 million for Q2 2026, down 7.8% from $618.06 million a year earlier and down 3.4% from the prior quarter.
Ginkgo Bioworks Holdings (DNA) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Ginkgo Bioworks Holdings' Total Liabilities was $611.11 million, down 7.6% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $661.39 million in FY2024 (+16.4%), $568.19 million in FY2023 (-29.2%), $803.04 million in FY2022 (+59.5%) and $503.61 million in FY2021 (+145.5%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q4 2023.
- Year-over-year, Total Liabilities has declined for five consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2021 (growth of 145.5%), and the weakest in Q2 2022 (a decline of 69.2%).
- Business Quant data shows DNA's Total Liabilities at $589.92 million (Q1 2026), $611.11 million (Q4 2025) and $629.38 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Iqvia Holdings | 44.55 Bn | 36.39 Bn | 1.44 Bn | 23.58 Bn |
| 2 | Medpace Holdings | 17.19 Bn | 15.25 Bn | 201.64 Mn | 1.62 Bn |
| 3 | Charles River Laboratories International | 14.06 Bn | 13.30 Bn | 363.37 Mn | 4.69 Bn |
| 4 | Icon | 13.44 Bn | 10.55 Bn | 479.29 Mn | 7.02 Bn |
| 5 | Fortrea Holdings | 1.91 Bn | 1.29 Bn | 139.20 Mn | 2.19 Bn |
| 6 | Ginkgo Bioworks Holdings | 665.78 Mn | -96.30 Mn | 18.44 Mn | 569.76 Mn |
| 7 | Evotec SE | 565.34 Mn | -1.01 Bn | - | 1.06 Bn |
| 8 | Champions Oncology | 68.06 Mn | 43.71 Mn | 7.70 Mn | 28.83 Mn |
| 9 | MindWalk Holdings | 62.59 Mn | 26.81 Mn | 1.61 Mn | 7.47 Mn |
| 10 | Natural Alternatives International | 10.67 Mn | -22.35 Mn | 383,000.00 | 91.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 569.76 Mn |
| Mar 31, 2026 | 589.92 Mn |
| Dec 31, 2025 | 611.11 Mn |
| Sep 30, 2025 | 629.38 Mn |
| Jun 30, 2025 | 618.06 Mn |
| Mar 31, 2025 | 646.04 Mn |
| Dec 31, 2024 | 661.39 Mn |
| Sep 30, 2024 | 682.94 Mn |
| Jun 30, 2024 | 792.18 Mn |
| Mar 31, 2024 | 594.49 Mn |
| Dec 31, 2023 | 568.19 Mn |
| Sep 30, 2023 | 773.71 Mn |
| Jun 30, 2023 | 788.41 Mn |
| Mar 31, 2023 | 809.62 Mn |
| Dec 31, 2022 | 803.04 Mn |
| Sep 30, 2022 | 426.84 Mn |
| Jun 30, 2022 | 421.97 Mn |
| Mar 31, 2022 | 438.48 Mn |
| Dec 31, 2021 | 503.61 Mn |
| Sep 30, 2021 | 532.62 Mn |
Ginkgo Bioworks Holdings Total 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-liabilities&ticker=DNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "DNA", "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-liabilities&ticker=DNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();