Crane NXT (CXT) Change in Accured Expenses (2009 - 2026)
Crane NXT (CXT) posted Change in Accured Expenses of $3.8 million for Q2 2026, down 83.8% from $23.4 million a year earlier and down 80.9% from the prior quarter.
Crane NXT (CXT) Change in Accured Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Crane NXT was $48.8 million, up 448.3% year-over-year; for FY2025, it came in at $37 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 50.4% (FY2020 to FY2025).
- In prior years, Crane NXT's Change in Accured Expenses was -$28.4 million in FY2024, -$2.5 million in FY2023, $34.4 million in FY2022 and -$3.6 million in FY2021.
- Quarterly Change in Accured Expenses has run from a low of -$100.1 million in Q1 2022 to a high of $75.7 million in Q2 2022 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 12.8%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2022, with growth of 248.8%; the weakest was Q2 2026, with a decline of 83.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $19.9 million (Q1 2026), $33.2 million (Q4 2025) and -$8.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 715.00 Mn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | - |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 67.00 Mn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | - |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 191.00 Mn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | - |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 117.60 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 57.00 Mn |
| 10 | Crane NXT | 3.27 Bn | 2.39 Bn | 208.60 Mn | 3.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.80 Mn |
| Mar 31, 2026 | 19.90 Mn |
| Dec 31, 2025 | 33.20 Mn |
| Sep 30, 2025 | -8.10 Mn |
| Jun 30, 2025 | 23.40 Mn |
| Mar 31, 2025 | -11.50 Mn |
| Dec 31, 2024 | 27.60 Mn |
| Sep 30, 2024 | -30.60 Mn |
| Jun 30, 2024 | 11.40 Mn |
| Mar 31, 2024 | -36.80 Mn |
| Dec 31, 2023 | 25.20 Mn |
| Sep 30, 2023 | -15.40 Mn |
| Jun 30, 2023 | 13.70 Mn |
| Mar 31, 2023 | -26.00 Mn |
| Dec 31, 2022 | 25.30 Mn |
| Sep 30, 2022 | 33.50 Mn |
| Jun 30, 2022 | 75.70 Mn |
| Mar 31, 2022 | -100.10 Mn |
| Dec 31, 2021 | -18.50 Mn |
| Sep 30, 2021 | 11.60 Mn |
Crane NXT Change in Accured 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=change-in-accured-expenses&ticker=CXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "CXT", "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-accured-expenses&ticker=CXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();