F5 (FFIV) Receivables (2009 - 2026)
F5 (FFIV) reported Receivables of $1.01 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 23.4% from $820.03 million a year earlier and up 7.4% from the prior quarter.
F5 (FFIV) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), F5 posted Receivables of $912.72 million, up 15.5% from FY2024.
- Receivables has a five-year compound annual growth rate of 16.0% (FY2020 to FY2025).
- By fiscal year, Receivables came in at $790.13 million in FY2024 (-4.7%), $828.95 million in FY2023 (+5.0%), $789.69 million in FY2022 (+42.0%) and $555.93 million in FY2021 (+28.0%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Receivables in data going back to fiscal Q4 2009.
- Year over year, Receivables has now increased in each of the last seven quarters, with growth averaging 9.1% over the last eight quarters.
- The high point for year-over-year Receivables in five years was fiscal Q4 2022 (growth of 42.0%); the low point was fiscal Q2 2024 (a decline of 6.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $941.83 million (Q2 2026), $1.01 billion (Q1 2026) and $912.72 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | F5 | 24.75 Bn | 19.16 Bn | 711.51 Mn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 941.83 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 912.72 Mn |
| Jun 30, 2025 | 820.03 Mn |
| Mar 31, 2025 | 807.57 Mn |
| Dec 31, 2024 | 918.92 Mn |
| Sep 30, 2024 | 790.13 Mn |
| Jun 30, 2024 | 792.38 Mn |
| Mar 31, 2024 | 768.23 Mn |
| Dec 31, 2023 | 887.29 Mn |
| Sep 30, 2023 | 828.95 Mn |
| Jun 30, 2023 | 806.03 Mn |
| Mar 31, 2023 | 824.65 Mn |
| Dec 31, 2022 | 819.09 Mn |
| Sep 30, 2022 | 789.69 Mn |
| Jun 30, 2022 | 733.53 Mn |
| Mar 31, 2022 | 665.37 Mn |
| Dec 31, 2021 | 655.32 Mn |
| Sep 30, 2021 | 555.93 Mn |
F5 Receivables 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=receivables&ticker=FFIV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=FFIV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();