Figs (FIGS) Short-term Investments (2023 - 2026)
Figs' (FIGS) quarterly Short-term Investments came in at $187.8 million in Q2 2026, little changed year-over-year from $188.0 million in Q2 2025, and down 7.39% quarter-over-quarter from $202.7 million in Q1 2026.
Figs (FIGS) Short-term Investments (2023 - 2026) Analysis & Trends
Figs (FIGS) has reported Short-term Investments for 4 consecutive years, with $187.8 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Short-term Investments changed 0.13% year-over-year to $187.8 million in Q2 2026; TTM through Jun 2026 was $187.8 million, a 0.13% change from a year earlier, with the FY2025 full-year figure at $218.9 million, up 37.24% from the prior year.
- Short-term Investments was $187.8 million for Q2 2026 at Figs, down from $202.7 million in the prior quarter.
- Over five years, Short-term Investments peaked at $218.9 million in Q4 2025 and troughed at $38.6 million in Q2 2023.
- A 4-year average of $146.3 million and a median of $159.5 million in 2024 frame the typical range for Short-term Investments.
- Across the five-year window, Short-term Investments jumped 254.24% in 2024 and fell 0.13% in 2026, its largest moves.
- Over 4 years, Short-term Investments stood at $102.5 million in 2023, then jumped by 55.55% to $159.5 million in 2024, then jumped by 37.24% to $218.9 million in 2025, then slipped by 14.22% to $187.8 million in 2026.
- The last three Short-term Investments figures came in at $187.8 million (Q2 2026), $202.7 million (Q1 2026), and $218.9 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.75 Mn |
| Mar 31, 2026 | 202.72 Mn |
| Dec 31, 2025 | 218.86 Mn |
| Sep 30, 2025 | 195.07 Mn |
| Jun 30, 2025 | 187.99 Mn |
| Mar 31, 2025 | 161.20 Mn |
| Dec 31, 2024 | 159.47 Mn |
| Sep 30, 2024 | 157.61 Mn |
| Jun 30, 2024 | 136.72 Mn |
| Mar 31, 2024 | 103.85 Mn |
| Dec 31, 2023 | 102.52 Mn |
| Sep 30, 2023 | 49.15 Mn |
| Jun 30, 2023 | 38.60 Mn |
Figs Short-term Investments 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=short-term-investments&ticker=FIGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();