Figs (FIGS) Retained Earnings (2020 - 2026)
Figs (FIGS) recorded Retained Earnings of $133.39 million in Q2 2026, up 86.6% from $71.47 million a year earlier and up 27.0% from the prior quarter.
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Analysis
Figs (FIGS) Retained Earnings (2020 - 2026) Analysis & Trends
At the end of FY2025, Figs reported Retained Earnings of $98.72 million, up 53.1% from FY2024.
- Annual Retained Earnings has increased for four straight years, with a five-year compound annual growth rate of 29.1% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $64.47 million in FY2024 (+4.4%), $61.75 million in FY2023 (+57.9%), $39.12 million in FY2022 (+118.2%) and $17.93 million in FY2021 (-34.8%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2020.
- On a year-over-year basis, Retained Earnings has increased for 16 consecutive quarters, with growth averaging 33.7% over the last eight quarters.
- Peak year-over-year performance for Retained Earnings in the last five years was growth of 569.7% in Q3 2022, against a decline of 34.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $105.01 million (Q1 2026), $98.72 million (Q4 2025) and $80.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.18 Bn | 22.38 Bn | 4.80 Bn | -56.00 Mn |
| 2 | Tapestry | 23.99 Bn | 19.95 Bn | 1.56 Bn | -3.21 Bn |
| 3 | Ralph Lauren | 22.76 Bn | 14.85 Bn | 1.44 Bn | 8.51 Bn |
| 4 | Deckers Outdoor | 12.61 Bn | 5.48 Bn | - | 2.25 Bn |
| 5 | Lululemon Athletica | 11.29 Bn | 5.54 Bn | 1.46 Bn | 4.36 Bn |
| 6 | Levi Strauss | 8.02 Bn | 4.60 Bn | 1.07 Bn | 1.96 Bn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | -1.04 Bn |
| 8 | Gildan Activewear | 6.55 Bn | 5.47 Bn | 459.76 Mn | 902.37 Mn |
| 9 | Birkenstock Holding | 6.11 Bn | 4.43 Bn | 493.89 Mn | 1.15 Bn |
| 10 | Figs | 3.31 Bn | 2.20 Bn | 147.86 Mn | 133.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.39 Mn |
| Mar 31, 2026 | 105.01 Mn |
| Dec 31, 2025 | 98.72 Mn |
| Sep 30, 2025 | 80.22 Mn |
| Jun 30, 2025 | 71.47 Mn |
| Mar 31, 2025 | 64.37 Mn |
| Dec 31, 2024 | 64.47 Mn |
| Sep 30, 2024 | 62.59 Mn |
| Jun 30, 2024 | 64.29 Mn |
| Mar 31, 2024 | 63.19 Mn |
| Dec 31, 2023 | 61.75 Mn |
| Sep 30, 2023 | 51.75 Mn |
| Jun 30, 2023 | 45.61 Mn |
| Mar 31, 2023 | 41.03 Mn |
| Dec 31, 2022 | 39.12 Mn |
| Sep 30, 2022 | 35.73 Mn |
| Jun 30, 2022 | 31.68 Mn |
| Mar 31, 2022 | 26.83 Mn |
| Dec 31, 2021 | 17.93 Mn |
| Sep 30, 2021 | 5.34 Mn |
API Access
Figs Retained Earnings 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=retained-earnings&ticker=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();