Ginkgo Bioworks Holdings (DNA) Operating Expenses (2020 - 2026)
Ginkgo Bioworks Holdings' Operating Expenses was $78.7 million in Q2 2026, down 19.1% from $97.3 million a year earlier and down 13.4% from the prior quarter.
Ginkgo Bioworks Holdings (DNA) Operating Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ginkgo Bioworks Holdings' Operating Expenses was $402.55 million through Jun 30, 2026, down 20.8% year-over-year; for FY2025, it was $485.43 million, down 38.3% from FY2024.
- Operating Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 17.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $786.8 million in FY2024 (-29.5%), $1.12 billion in FY2023 (-58.5%), $2.69 billion in FY2022 (+25.4%) and $2.14 billion in FY2021 (+902.6%).
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q3 2020.
- Compared with a year earlier, Operating Expenses has declined for eight straight quarters, with an average decline of 35.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2022 (growth of 733.7%); the worst was Q4 2022 (a decline of 82.0%).
- Per Business Quant data, DNA's Operating Expenses in the three quarters before Q2 2026 was $90.85 million (Q1 2026), $104.15 million (Q4 2025) and $128.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Iqvia Holdings | 44.55 Bn | 36.39 Bn | 1.44 Bn | 637.00 Mn |
| 2 | Medpace Holdings | 17.19 Bn | 15.25 Bn | 201.64 Mn | 560.51 Mn |
| 3 | Charles River Laboratories International | 14.06 Bn | 13.30 Bn | 363.37 Mn | 228.90 Mn |
| 4 | Icon | 13.44 Bn | 10.55 Bn | 479.29 Mn | 1.93 Bn |
| 5 | Fortrea Holdings | 1.91 Bn | 1.29 Bn | 139.20 Mn | 663.40 Mn |
| 6 | Ginkgo Bioworks Holdings | 665.78 Mn | -96.30 Mn | 18.44 Mn | 78.70 Mn |
| 7 | Evotec SE | 565.34 Mn | -1.01 Bn | - | - |
| 8 | Champions Oncology | 68.06 Mn | 43.71 Mn | 7.70 Mn | 15.64 Mn |
| 9 | MindWalk Holdings | 62.59 Mn | 26.81 Mn | 1.61 Mn | 6.01 Mn |
| 10 | Natural Alternatives International | 10.67 Mn | -22.35 Mn | 383,000.00 | 4.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.70 Mn |
| Mar 31, 2026 | 90.85 Mn |
| Dec 31, 2025 | 104.15 Mn |
| Sep 30, 2025 | 128.85 Mn |
| Jun 30, 2025 | 97.30 Mn |
| Mar 31, 2025 | 119.20 Mn |
| Dec 31, 2024 | 147.45 Mn |
| Sep 30, 2024 | 144.25 Mn |
| Jun 30, 2024 | 279.15 Mn |
| Mar 31, 2024 | 215.95 Mn |
| Dec 31, 2023 | 212.87 Mn |
| Sep 30, 2023 | 341.82 Mn |
| Jun 30, 2023 | 264.72 Mn |
| Mar 31, 2023 | 296.45 Mn |
| Dec 31, 2022 | 329.15 Mn |
| Sep 30, 2022 | 721.34 Mn |
| Jun 30, 2022 | 792.40 Mn |
| Mar 31, 2022 | 843.78 Mn |
| Dec 31, 2021 | 1.83 Bn |
| Sep 30, 2021 | 104.28 Mn |
Ginkgo Bioworks Holdings Operating Expenses 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=operating-expenses&ticker=DNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=DNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();