Figs (FIGS) Change in Cash (2020 - 2026)
Figs' (FIGS) quarterly Change in Cash came in at $34.2 million in Q2 2026, up 187.43% year-over-year from $11.9 million in Q2 2025, and up 545.71% quarter-over-quarter from -$7.7 million in Q1 2026.
Figs (FIGS) Change in Cash (2020 - 2026) Analysis & Trends
Figs (FIGS) has reported Change in Cash for 7 consecutive years, with $34.2 million the latest figure, recorded in Q2 2026.
- On a quarterly basis, Change in Cash rose 187.43% year-over-year to $34.2 million in Q2 2026; TTM through Jun 2026 was $57.7 million, a 171.26% increase from a year earlier, with the FY2025 full-year figure at -$3.7 million, up 93.75% from the prior year.
- Change in Cash was $34.2 million for Q2 2026 at Figs, up from -$7.7 million in the prior quarter.
- Over five years, Change in Cash peaked at $36.2 million in Q3 2023 and troughed at -$39.2 million in Q2 2025.
- A 5-year average of -$4.9 million and a median of -$7.7 million in 2024 frame the typical range for Change in Cash.
- Across the five-year window, Change in Cash tumbled 1024.83% in 2023 and surged 386.17% in 2024, its largest moves.
- Over 5 years, Change in Cash stood at $4.2 million in 2022, then plunged by 1024.83% to -$38.8 million in 2023, then increased by 0.83% to -$38.5 million in 2024, then surged by 192.39% to $35.5 million in 2025, then slipped by 3.65% to $34.2 million in 2026.
- The last three Change in Cash figures came in at $34.2 million (Q2 2026), -$7.7 million (Q1 2026), and $35.5 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Cash (Qtr) |
|---|---|---|---|---|---|
| 1 | Lululemon Athletica | 10.45 Bn | 9.06 Bn | 1.46 Bn | -124.99 Mn |
| 2 | Levi Strauss | 7.65 Bn | 6.67 Bn | 979.10 Mn | 132.70 Mn |
| 3 | Gildan Activewear | 7.18 Bn | 6.91 Bn | 459.76 Mn | 26.75 Mn |
| 4 | V F | 5.02 Bn | 4.35 Bn | 917.04 Mn | -151.77 Mn |
| 5 | Kontoor Brands | 3.63 Bn | 3.57 Bn | 328.26 Mn | - |
| 6 | Pvh | 3.38 Bn | 2.42 Bn | 1.32 Bn | 373.40 Mn |
| 7 | Columbia Sportswear | 2.91 Bn | 2.29 Bn | 358.43 Mn | 212.96 Mn |
| 8 | Warby Parker | 2.78 Bn | 2.48 Bn | 136.46 Mn | 4.43 Mn |
| 9 | Figs | 2.06 Bn | 1.76 Bn | 147.86 Mn | 34.24 Mn |
| 10 | Under Armour | 2.04 Bn | 1.65 Bn | 593.83 Mn | 86.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.24 Mn |
| Mar 31, 2026 | -7.68 Mn |
| Dec 31, 2025 | 35.53 Mn |
| Sep 30, 2025 | -4.40 Mn |
| Jun 30, 2025 | -39.16 Mn |
| Mar 31, 2025 | 4.36 Mn |
| Dec 31, 2024 | -38.46 Mn |
| Sep 30, 2024 | -7.71 Mn |
| Jun 30, 2024 | -23.52 Mn |
| Mar 31, 2024 | 11.16 Mn |
| Dec 31, 2023 | -38.78 Mn |
| Sep 30, 2023 | 36.22 Mn |
| Jun 30, 2023 | -9.15 Mn |
| Mar 31, 2023 | -3.90 Mn |
| Dec 31, 2022 | 4.19 Mn |
| Sep 30, 2022 | -14.64 Mn |
| Jun 30, 2022 | -19.18 Mn |
| Mar 31, 2022 | -8.03 Mn |
| Dec 31, 2021 | 13.48 Mn |
| Sep 30, 2021 | 19.99 Mn |
Figs Change in Cash 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=change-in-cash&ticker=FIGS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-cash", "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=change-in-cash&ticker=FIGS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();