Figs (FIGS) Cash & Equivalents (2020 - 2026)
Figs (FIGS) posted Cash & Equivalents of $108.54 million for Q2 2026, up 113.5% from $50.85 million a year earlier and up 46.1% from the prior quarter.
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Analysis
Figs (FIGS) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Figs' Cash & Equivalents came in at $81.99 million, down 4.3% from FY2024.
- Annual Cash & Equivalents has declined for four consecutive years, though with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In prior years, Figs' Cash & Equivalents was $85.65 million in FY2024 (-40.6%), $144.17 million in FY2023 (-9.8%), $159.78 million in FY2022 (-18.2%) and $195.37 million in FY2021 (+236.1%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q3 2024.
- On a year-over-year basis, Cash & Equivalents increased in 1 of the last eight quarters, with an average decline of 18.4%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q4 2021, with growth of 236.1%; the weakest was Q3 2025, with a decline of 62.6%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $74.3 million (Q1 2026), $81.99 million (Q4 2025) and $46.45 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 56.59 Bn | 22.79 Bn | 4.80 Bn | 6.90 Bn |
| 2 | Tapestry | 23.22 Bn | 19.18 Bn | 1.56 Bn | 974.70 Mn |
| 3 | Ralph Lauren | 22.91 Bn | 15.01 Bn | 1.44 Bn | 1.72 Bn |
| 4 | Deckers Outdoor | 12.28 Bn | 5.16 Bn | - | 1.91 Bn |
| 5 | Lululemon Athletica | 11.66 Bn | 5.91 Bn | 1.46 Bn | 1.39 Bn |
| 6 | Levi Strauss | 8.28 Bn | 4.86 Bn | 1.07 Bn | 641.40 Mn |
| 7 | V F | 6.86 Bn | 3.48 Bn | 917.04 Mn | 670.06 Mn |
| 8 | Gildan Activewear | 6.60 Bn | 5.52 Bn | 459.76 Mn | 268.30 Mn |
| 9 | Birkenstock Holding | 6.28 Bn | 4.60 Bn | 493.89 Mn | 792.27 Mn |
| 10 | Figs | 3.41 Bn | 2.30 Bn | 147.86 Mn | 108.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.54 Mn |
| Mar 31, 2026 | 74.30 Mn |
| Dec 31, 2025 | 81.99 Mn |
| Sep 30, 2025 | 46.45 Mn |
| Jun 30, 2025 | 50.85 Mn |
| Mar 31, 2025 | 90.01 Mn |
| Dec 31, 2024 | 85.65 Mn |
| Sep 30, 2024 | 124.10 Mn |
| Jun 30, 2024 | 131.81 Mn |
| Mar 31, 2024 | 155.33 Mn |
| Dec 31, 2023 | 144.17 Mn |
| Sep 30, 2023 | 182.95 Mn |
| Jun 30, 2023 | 146.73 Mn |
| Mar 31, 2023 | 155.88 Mn |
| Dec 31, 2022 | 159.78 Mn |
| Sep 30, 2022 | 155.58 Mn |
| Jun 30, 2022 | 170.22 Mn |
| Mar 31, 2022 | 189.40 Mn |
| Dec 31, 2021 | 195.37 Mn |
| Sep 30, 2021 | 183.95 Mn |
API Access
Figs Cash & Equivalents 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=cash-and-equivalents&ticker=FIGS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();