CrowdStrike Holdings (CRWD) Accumulated Expenses (2019 - 2026)
CrowdStrike Holdings (CRWD) posted Accumulated Expenses of $220.07 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.5% from $210.53 million a year earlier and up 12.2% from the prior quarter.
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Analysis
CrowdStrike Holdings (CRWD) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), CrowdStrike Holdings' Accumulated Expenses came in at $181.09 million, down 5.4% from FY2025.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 28.8% (FY2021 to FY2026).
- In prior fiscal years, CrowdStrike Holdings' Accumulated Expenses was $191.35 million in FY2025 (+52.0%), $125.9 million in FY2024 (-8.7%), $137.88 million in FY2023 (+65.4%) and $83.38 million in FY2022 (+63.1%).
- The fiscal Q2 2027 figure stands as the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2019.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 33.6%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2026, with growth of 107.8%; the weakest was fiscal Q2 2025, with a decline of 17.3%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $196.22 million (Q1 2027), $181.09 million (Q4 2026) and $190.01 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 220.07 Mn |
| Apr 30, 2026 | 196.22 Mn |
| Jan 31, 2026 | 181.09 Mn |
| Oct 31, 2025 | 190.01 Mn |
| Jul 31, 2025 | 210.53 Mn |
| Apr 30, 2025 | 166.77 Mn |
| Jan 31, 2025 | 191.35 Mn |
| Oct 31, 2024 | 176.60 Mn |
| Jul 31, 2024 | 101.30 Mn |
| Apr 30, 2024 | 102.12 Mn |
| Jan 31, 2024 | 125.90 Mn |
| Oct 31, 2023 | 146.05 Mn |
| Jul 31, 2023 | 122.42 Mn |
| Apr 30, 2023 | 91.49 Mn |
| Jan 31, 2023 | 137.88 Mn |
| Oct 31, 2022 | 88.92 Mn |
| Jul 31, 2022 | 101.18 Mn |
| Apr 30, 2022 | 94.97 Mn |
| Jan 31, 2022 | 83.38 Mn |
| Oct 31, 2021 | 76.76 Mn |
API Access
CrowdStrike Holdings Accumulated Expenses 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=accumulated-expenses&ticker=CRWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CRWD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CRWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();