F5 (FFIV) Cash & Equivalents (2009 - 2026)
F5 (FFIV) recorded Cash & Equivalents of $1.61 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.4% from $1.43 billion a year earlier and up 11.3% from the prior quarter.
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Analysis
F5 (FFIV) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), F5 reported Cash & Equivalents of $1.34 billion, up 24.7% from FY2024.
- Annual Cash & Equivalents has increased for four straight fiscal years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Across earlier fiscal years, Cash & Equivalents came in at $1.08 billion in FY2024 (+34.7%), $800.84 million in FY2023 (+5.1%), $762.21 million in FY2022 (+30.4%) and $584.33 million in FY2021 (-31.5%).
- The fiscal Q3 2026 figure is the highest quarterly Cash & Equivalents in data going back to fiscal Q3 2009.
- On a year-over-year basis, Cash & Equivalents has increased for 16 consecutive quarters, with growth averaging 27.6% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 52.3% in fiscal Q3 2025, against a decline of 49.9% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.44 billion (Q2 2026), $1.2 billion (Q1 2026) and $1.34 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 3.61 Bn |
| 10 | F5 | 25.21 Bn | 19.62 Bn | 711.51 Mn | 1.61 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.61 Bn |
| Mar 31, 2026 | 1.44 Bn |
| Dec 31, 2025 | 1.20 Bn |
| Sep 30, 2025 | 1.34 Bn |
| Jun 30, 2025 | 1.43 Bn |
| Mar 31, 2025 | 1.26 Bn |
| Dec 31, 2024 | 1.15 Bn |
| Sep 30, 2024 | 1.08 Bn |
| Jun 30, 2024 | 938.52 Mn |
| Mar 31, 2024 | 906.41 Mn |
| Dec 31, 2023 | 826.31 Mn |
| Sep 30, 2023 | 800.84 Mn |
| Jun 30, 2023 | 681.59 Mn |
| Mar 31, 2023 | 738.74 Mn |
| Dec 31, 2022 | 609.96 Mn |
| Sep 30, 2022 | 762.21 Mn |
| Jun 30, 2022 | 546.12 Mn |
| Mar 31, 2022 | 589.92 Mn |
| Dec 31, 2021 | 515.82 Mn |
| Sep 30, 2021 | 584.33 Mn |
API Access
F5 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=FFIV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "FFIV", "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=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();