Figs (FIGS) Income from Continuing Operations (2020 - 2026)
Figs' Income from Continuing Operations came in at $28.38 million for Q2 2026, up 299.8% from $7.1 million a year earlier and up 354.4% from the prior quarter.
Figs (FIGS) Income from Continuing Operations (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Figs reported Income from Continuing Operations of $61.88 million, up 765.7% year-over-year; for FY2025, it came in at $34.25 million.
- Income from Continuing Operations carries a five-year compound annual growth rate of -7.2% (FY2020 to FY2025).
- Going back by year, Income from Continuing Operations was $2.72 million in FY2024 (-88.0%), $22.64 million in FY2023 (+6.8%), $21.19 million in FY2022 and -$9.56 million in FY2021.
- The Q2 2026 figure represents the highest quarterly Income from Continuing Operations in data going back to Q2 2020.
- Year-over-year, Income from Continuing Operations increased in three of the last four quarters, with growth averaging 414.0%.
- The fastest year-over-year change in Income from Continuing Operations over five years came in Q4 2025 (growth of 881.8%), and the weakest in Q4 2024 (a decline of 81.2%).
- Business Quant data shows FIGS's Income from Continuing Operations at $6.25 million (Q1 2026), $18.51 million (Q4 2025) and $8.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.07 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 347.80 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 262.20 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 329.22 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 94.80 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | 90.40 Mn |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | 244.68 Mn |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 204.89 Mn |
| 10 | Figs | 2.18 Bn | 1.07 Bn | 147.86 Mn | 28.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.38 Mn |
| Mar 31, 2026 | 6.25 Mn |
| Dec 31, 2025 | 18.51 Mn |
| Sep 30, 2025 | 8.75 Mn |
| Jun 30, 2025 | 7.10 Mn |
| Mar 31, 2025 | -136,000.00 |
| Dec 31, 2024 | 1.89 Mn |
| Sep 30, 2024 | -1.70 Mn |
| Jun 30, 2024 | 1.08 Mn |
| Mar 31, 2024 | 1.44 Mn |
| Dec 31, 2023 | 10.04 Mn |
| Sep 30, 2023 | 6.15 Mn |
| Jun 30, 2023 | 4.58 Mn |
| Mar 31, 2023 | 1.87 Mn |
| Dec 31, 2022 | 3.40 Mn |
| Sep 30, 2022 | 4.02 Mn |
| Jun 30, 2022 | 4.82 Mn |
| Mar 31, 2022 | 8.85 Mn |
| Dec 31, 2021 | 12.60 Mn |
| Sep 30, 2021 | 6.92 Mn |
Figs Income from Continuing Operations 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=income-from-continuing-operations&ticker=FIGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "ticker": "FIGS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=income-from-continuing-operations&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();