FirstCash Holdings (FCFS) Cash & Equivalents (2010 - 2026)
FirstCash Holdings' Cash & Equivalents was $203.16 million in Q3 2026, up 56.0% from $130.24 million a year earlier and up 17.9% from the prior quarter.
FirstCash Holdings (FCFS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at FirstCash Holdings came in at $125.2 million, down 28.5% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $175.1 million in FY2024 (+37.9%), $127.02 million in FY2023 (+8.3%), $117.33 million in FY2022 (-2.3%) and $120.05 million in FY2021 (+82.3%).
- The Q3 2026 figure marks the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- Compared with a year earlier, Cash & Equivalents was higher in five of the last eight quarters, with growth averaging 18.1%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q2 2022 (growth of 120.6%); the worst was Q4 2025 (a decline of 28.5%).
- Per Business Quant data, FCFS's Cash & Equivalents in the three quarters before Q3 2026 was $172.3 million (Q2 2026), $130.74 million (Q1 2026) and $125.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 42.08 Bn | 30.90 Bn | - | 2.70 Bn |
| 2 | Orix | 40.23 Bn | 9.45 Bn | 12.74 Bn | 5.98 Bn |
| 3 | Royalty Pharma | 38.80 Bn | 39.13 Bn | - | 513.66 Mn |
| 4 | Federal National Mortgage Association Fannie Mae | 24.88 Bn | 24.88 Bn | - | - |
| 5 | Affirm Holdings | 23.61 Bn | 16.66 Bn | - | 2.07 Bn |
| 6 | Synchrony Financial | 23.04 Bn | -44.59 Bn | - | 15.90 Bn |
| 7 | Royal Gold | 22.12 Bn | 21.35 Bn | 390.45 Mn | 182.47 Mn |
| 8 | Annaly Capital Management | 14.78 Bn | 5.81 Bn | - | 2.18 Bn |
| 9 | Ares Capital | 13.97 Bn | 11.72 Bn | - | 722.00 Mn |
| 10 | FirstCash Holdings | 8.04 Bn | 7.41 Bn | 545.54 Mn | 203.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 203.16 Mn |
| Jun 30, 2026 | 172.30 Mn |
| Mar 31, 2026 | 130.74 Mn |
| Dec 31, 2025 | 125.20 Mn |
| Sep 30, 2025 | 130.24 Mn |
| Jun 30, 2025 | 101.47 Mn |
| Mar 31, 2025 | 146.03 Mn |
| Dec 31, 2024 | 175.10 Mn |
| Sep 30, 2024 | 106.32 Mn |
| Jun 30, 2024 | 113.69 Mn |
| Mar 31, 2024 | 135.07 Mn |
| Dec 31, 2023 | 127.02 Mn |
| Sep 30, 2023 | 86.55 Mn |
| Jun 30, 2023 | 104.60 Mn |
| Mar 31, 2023 | 100.80 Mn |
| Dec 31, 2022 | 117.33 Mn |
| Sep 30, 2022 | 100.62 Mn |
| Jun 30, 2022 | 110.41 Mn |
| Mar 31, 2022 | 113.32 Mn |
| Dec 31, 2021 | 120.05 Mn |
FirstCash Holdings 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=FCFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "FCFS", "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=FCFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();